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University of Texas – Austin

1. An, Haocheng. Kalman filtering for state estimation of advection diffusion PDE from sparse observation.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/8203

► Kalman filter is an important algorithm used in control theory. It takes an initial state as input and a series of observations over time and…
(more)

Subjects/Keywords: Kalman filter; PDE; Advection-diffusion equation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

An, H. (2019). Kalman filtering for state estimation of advection diffusion PDE from sparse observation. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8203

Chicago Manual of Style (16^{th} Edition):

An, Haocheng. “Kalman filtering for state estimation of advection diffusion PDE from sparse observation.” 2019. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/8203.

MLA Handbook (7^{th} Edition):

An, Haocheng. “Kalman filtering for state estimation of advection diffusion PDE from sparse observation.” 2019. Web. 18 Jan 2021.

Vancouver:

An H. Kalman filtering for state estimation of advection diffusion PDE from sparse observation. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/8203.

Council of Science Editors:

An H. Kalman filtering for state estimation of advection diffusion PDE from sparse observation. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/8203

University of Texas – Austin

2. -5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/62383

► Neural networks, as part of deep learning, have become extremely pop- ular due to their ability to extract information from data and to generalize it…
(more)

Subjects/Keywords: Machine learning; Neural networks; Optimization problem; MNIST

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APA (6^{th} Edition):

-5033-1279. (2017). hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62383

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-5033-1279. “hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.” 2017. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/62383.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-5033-1279. “hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian.” 2017. Web. 18 Jan 2021.

Note: this citation may be lacking information needed for this citation format:

Author name may be incomplete

Vancouver:

-5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/62383.

Author name may be incomplete

Council of Science Editors:

-5033-1279. hIPPYLearn : an inexact Newton-CG method for training neural networks with analysis of the Hessian. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62383

Author name may be incomplete

University of Texas – Austin

3. Liu, Di, active 21st century. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/62386

► In recent years, neural networks, as part of deep learning, became pop- ular because the ability to extract information from data and generalize it for…
(more)

Subjects/Keywords: Optimization; Neural network; Second order method

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APA (6^{th} Edition):

Liu, Di, a. 2. c. (2017). hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62386

Chicago Manual of Style (16^{th} Edition):

Liu, Di, active 21st century. “hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.” 2017. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/62386.

MLA Handbook (7^{th} Edition):

Liu, Di, active 21st century. “hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks.” 2017. Web. 18 Jan 2021.

Vancouver:

Liu, Di a2c. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. [Internet] [Masters thesis]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/62386.

Council of Science Editors:

Liu, Di a2c. hIPPYLearn : an inexact Stochastic Newton-CG method for training neural networks. [Masters Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62386

University of Texas – Austin

4. Swindeman, Ryan Louis. Iterative seismic data interpolation using plane-wave shaping.

Degree: MSin Geological Sciences, Geological Sciences, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/32601

► Geophysical applications often require finding an appropriate solution to an ill-posed inverse problem. An example application is interpolating irregular or sparse data to a regular…
(more)

Subjects/Keywords: Seismic data interpolation; Plane-wave shaping

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APA (6^{th} Edition):

Swindeman, R. L. (2015). Iterative seismic data interpolation using plane-wave shaping. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32601

Chicago Manual of Style (16^{th} Edition):

Swindeman, Ryan Louis. “Iterative seismic data interpolation using plane-wave shaping.” 2015. Masters Thesis, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/32601.

MLA Handbook (7^{th} Edition):

Swindeman, Ryan Louis. “Iterative seismic data interpolation using plane-wave shaping.” 2015. Web. 18 Jan 2021.

Vancouver:

Swindeman RL. Iterative seismic data interpolation using plane-wave shaping. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/32601.

Council of Science Editors:

Swindeman RL. Iterative seismic data interpolation using plane-wave shaping. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32601

University of Texas – Austin

5. He, Jiachuan. Data-driven uncertainty quantification for predictive subsurface flow and transport modeling.

Degree: PhD, Engineering Mechanics, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/1387

► Specification of hydraulic conductivity as a model parameter in groundwater flow and transport equations is an essential step in predictive simulations. It is often infeasible…
(more)

Subjects/Keywords: Stochastic inverse problem; Parameter estimation; Hydraulic conductivity; Measure theory; Support vector regression

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APA (6^{th} Edition):

He, J. (2019). Data-driven uncertainty quantification for predictive subsurface flow and transport modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/1387

Chicago Manual of Style (16^{th} Edition):

He, Jiachuan. “Data-driven uncertainty quantification for predictive subsurface flow and transport modeling.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/1387.

MLA Handbook (7^{th} Edition):

He, Jiachuan. “Data-driven uncertainty quantification for predictive subsurface flow and transport modeling.” 2019. Web. 18 Jan 2021.

Vancouver:

He J. Data-driven uncertainty quantification for predictive subsurface flow and transport modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/1387.

Council of Science Editors:

He J. Data-driven uncertainty quantification for predictive subsurface flow and transport modeling. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/1387

6. Kabacaoğlu, Gökberk. Numerical methods for simulations and optimization of vesicle flows in microfluidic devices.

Degree: PhD, Mechanical Engineering, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/2875

► Vesicles are highly deformable particles that are filled with a Newtonian fluid. They resemble biological cells without a nucleus such as red blood cells (RBCs).…
(more)

Subjects/Keywords: Computational biology; Fluid dynamics; Fast algorithms; Machine learning

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APA (6^{th} Edition):

Kabacaoğlu, G. (2019). Numerical methods for simulations and optimization of vesicle flows in microfluidic devices. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2875

Chicago Manual of Style (16^{th} Edition):

Kabacaoğlu, Gökberk. “Numerical methods for simulations and optimization of vesicle flows in microfluidic devices.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/2875.

MLA Handbook (7^{th} Edition):

Kabacaoğlu, Gökberk. “Numerical methods for simulations and optimization of vesicle flows in microfluidic devices.” 2019. Web. 18 Jan 2021.

Vancouver:

Kabacaoğlu G. Numerical methods for simulations and optimization of vesicle flows in microfluidic devices. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/2875.

Council of Science Editors:

Kabacaoğlu G. Numerical methods for simulations and optimization of vesicle flows in microfluidic devices. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2875

7. Flath, Hannah Pearl. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2013, University of Texas – Austin

URL: http://hdl.handle.net/2152/21157

► Subsurface flow phenomena characterize many important societal issues in energy and the environment. A key feature of these problems is that subsurface properties are uncertain,…
(more)

Subjects/Keywords: Hessian; Uncertainty quantification; Bayesian statistics; Inverse problems; Gaussian processes; High-dimensional parameter spaces; Response surface; MCMC; Subsurface flow

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APA (6^{th} Edition):

Flath, H. P. (2013). Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21157

Chicago Manual of Style (16^{th} Edition):

Flath, Hannah Pearl. “Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/21157.

MLA Handbook (7^{th} Edition):

Flath, Hannah Pearl. “Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow.” 2013. Web. 18 Jan 2021.

Vancouver:

Flath HP. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/21157.

Council of Science Editors:

Flath HP. Hessian-based response surface approximations for uncertainty quantification in large-scale statistical inverse problems, with applications to groundwater flow. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21157

University of Texas – Austin

8. Nguyen, Hieu Huu. Parallel-in-time methods for wave propagation in heterogeneous media.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/10151

► Wave propagation is ubiquitous in science and engineering applications, but solving the second-order wave equation in a parallel way is still computationally challenging. Specifically, as…
(more)

Subjects/Keywords: Numerical method; Wave propagation

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APA (6^{th} Edition):

Nguyen, H. H. (2020). Parallel-in-time methods for wave propagation in heterogeneous media. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10151

Chicago Manual of Style (16^{th} Edition):

Nguyen, Hieu Huu. “Parallel-in-time methods for wave propagation in heterogeneous media.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10151.

MLA Handbook (7^{th} Edition):

Nguyen, Hieu Huu. “Parallel-in-time methods for wave propagation in heterogeneous media.” 2020. Web. 18 Jan 2021.

Vancouver:

Nguyen HH. Parallel-in-time methods for wave propagation in heterogeneous media. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10151.

Council of Science Editors:

Nguyen HH. Parallel-in-time methods for wave propagation in heterogeneous media. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10151

University of Texas – Austin

9. Ly, Long Louis. Visibility optimization for autonomous exploration and surveillance-evasion games.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/10147

► This dissertation considers problems involving line-of-sight visibility. In the exploration problem, the agent must efficiently map out a previously unknown environment, using as few sensor…
(more)

Subjects/Keywords: Exploration; Surveillance; Pursuit-evasion; Autonomous agents; Visibility

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APA (6^{th} Edition):

Ly, L. L. (2020). Visibility optimization for autonomous exploration and surveillance-evasion games. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10147

Chicago Manual of Style (16^{th} Edition):

Ly, Long Louis. “Visibility optimization for autonomous exploration and surveillance-evasion games.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10147.

MLA Handbook (7^{th} Edition):

Ly, Long Louis. “Visibility optimization for autonomous exploration and surveillance-evasion games.” 2020. Web. 18 Jan 2021.

Vancouver:

Ly LL. Visibility optimization for autonomous exploration and surveillance-evasion games. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10147.

Council of Science Editors:

Ly LL. Visibility optimization for autonomous exploration and surveillance-evasion games. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10147

University of Texas – Austin

10. Wahal, Siddhant. Novel algorithms for Uncertainty Quantification in large scale systems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/10158

► Uncertainty Quantification (UQ) algorithms are of increasing significance in science and engineering. The process of modeling physical reality on computers is rife with uncertainties. These…
(more)

Subjects/Keywords: Uncertainty quantification; Bayesian inference; Importance sampling; Rare events

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APA (6^{th} Edition):

Wahal, S. (2020). Novel algorithms for Uncertainty Quantification in large scale systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10158

Chicago Manual of Style (16^{th} Edition):

Wahal, Siddhant. “Novel algorithms for Uncertainty Quantification in large scale systems.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10158.

MLA Handbook (7^{th} Edition):

Wahal, Siddhant. “Novel algorithms for Uncertainty Quantification in large scale systems.” 2020. Web. 18 Jan 2021.

Vancouver:

Wahal S. Novel algorithms for Uncertainty Quantification in large scale systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10158.

Council of Science Editors:

Wahal S. Novel algorithms for Uncertainty Quantification in large scale systems. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10158

University of Texas – Austin

11. -8938-7074. Efficient and dimension independent methods for neural network surrogate construction and training.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/10819

► In this dissertation I investigate how to efficiently construct neural network surrogates for parametric maps defined by PDEs, and how to use second order information…
(more)

Subjects/Keywords: Optimization; Machine learning; Surrogate modeling; Reduced order methods; Matrix-free methods; Neural networks; Uncertainty quantification; Scalable algorithms; Randomized methods

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APA (6^{th} Edition):

-8938-7074. (2020). Efficient and dimension independent methods for neural network surrogate construction and training. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/10819

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-8938-7074. “Efficient and dimension independent methods for neural network surrogate construction and training.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/10819.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-8938-7074. “Efficient and dimension independent methods for neural network surrogate construction and training.” 2020. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-8938-7074. Efficient and dimension independent methods for neural network surrogate construction and training. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/10819.

Author name may be incomplete

Council of Science Editors:

-8938-7074. Efficient and dimension independent methods for neural network surrogate construction and training. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/10819

Author name may be incomplete

University of Texas – Austin

12. Bonomo, Anthony Lucas. An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments.

Degree: PhD, Mechanical Engineering, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/63392

► This dissertation studies five models that make up a cross section of the geoacoustic models that have been used to study sandy sediments: a simple…
(more)

Subjects/Keywords: Underwater acoustics; Sediment acoustics; Sandy sediments; Bayesian inference; Finite element method; Geoacoustic models; Acoustic scattering; Bottom loss

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Bonomo, A. L. (2017). An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63392

Chicago Manual of Style (16^{th} Edition):

Bonomo, Anthony Lucas. “An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/63392.

MLA Handbook (7^{th} Edition):

Bonomo, Anthony Lucas. “An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments.” 2017. Web. 18 Jan 2021.

Vancouver:

Bonomo AL. An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/63392.

Council of Science Editors:

Bonomo AL. An evaluation of competing geoacoustic models and their applicability to sandy ocean sediments. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63392

University of Texas – Austin

13. Merzlikin, Dmitrii. Diffraction imaging by path-summation migration.

Degree: PhD, Geological Sciences, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/68470

► Unconventional reservoir characterization requires accurate and high-resolution subsurface images to detect small-scale geological features controlling the production efficiency. Diffraction imaging techniques provide higher lateral resolution…
(more)

Subjects/Keywords: Diffraction imaging; Seismic imaging; Velocity analysis; Signal processing; Inverse theory

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Merzlikin, D. (2018). Diffraction imaging by path-summation migration. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68470

Chicago Manual of Style (16^{th} Edition):

Merzlikin, Dmitrii. “Diffraction imaging by path-summation migration.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/68470.

MLA Handbook (7^{th} Edition):

Merzlikin, Dmitrii. “Diffraction imaging by path-summation migration.” 2018. Web. 18 Jan 2021.

Vancouver:

Merzlikin D. Diffraction imaging by path-summation migration. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/68470.

Council of Science Editors:

Merzlikin D. Diffraction imaging by path-summation migration. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68470

University of Texas – Austin

14. Yang, Shan. A shape Hessian-based analysis of roughness effects on fluid flows.

Degree: PhD, Computational and Applied Mathematics, 2011, University of Texas – Austin

URL: http://hdl.handle.net/2152/ETD-UT-2011-08-4036

► The flow of fluids over solid surfaces is an integral part of many technologies, and the analysis of such flows is important to the design…
(more)

Subjects/Keywords: Roughness analysis; Shape calculus; Navier-Stokes flow

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APA (6^{th} Edition):

Yang, S. (2011). A shape Hessian-based analysis of roughness effects on fluid flows. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4036

Chicago Manual of Style (16^{th} Edition):

Yang, Shan. “A shape Hessian-based analysis of roughness effects on fluid flows.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-4036.

MLA Handbook (7^{th} Edition):

Yang, Shan. “A shape Hessian-based analysis of roughness effects on fluid flows.” 2011. Web. 18 Jan 2021.

Vancouver:

Yang S. A shape Hessian-based analysis of roughness effects on fluid flows. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4036.

Council of Science Editors:

Yang S. A shape Hessian-based analysis of roughness effects on fluid flows. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4036

University of Texas – Austin

15. Du, Wei, Ph. D. Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/47137

► In August 2005, Hurricane Katrina struck the Gulf Coast of the United States. Over a thousand people lost their lives and the total damage was…
(more)

Subjects/Keywords: Fluid structure interaction; Two-phase flow; Soil plasticity; Floodwall; Interaction models

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APA (6^{th} Edition):

Du, Wei, P. D. (2016). Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47137

Chicago Manual of Style (16^{th} Edition):

Du, Wei, Ph D. “Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/47137.

MLA Handbook (7^{th} Edition):

Du, Wei, Ph D. “Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures.” 2016. Web. 18 Jan 2021.

Vancouver:

Du, Wei PD. Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/47137.

Council of Science Editors:

Du, Wei PD. Mathematical modeling of the interaction between two-phase environmental flow and protective hydraulic structures. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/47137

16. Le, Ellen Brooke. Data-driven reduction strategies for Bayesian inverse problems.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/65851

► A persistent central challenge in computational science and engineering (CSE), with both national and global security implications, is the efficient solution of large-scale Bayesian inverse…
(more)

Subjects/Keywords: Bayesian inverse problems

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Le, E. B. (2018). Data-driven reduction strategies for Bayesian inverse problems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65851

Chicago Manual of Style (16^{th} Edition):

Le, Ellen Brooke. “Data-driven reduction strategies for Bayesian inverse problems.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/65851.

MLA Handbook (7^{th} Edition):

Le, Ellen Brooke. “Data-driven reduction strategies for Bayesian inverse problems.” 2018. Web. 18 Jan 2021.

Vancouver:

Le EB. Data-driven reduction strategies for Bayesian inverse problems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/65851.

Council of Science Editors:

Le EB. Data-driven reduction strategies for Bayesian inverse problems. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65851

University of Texas – Austin

17. -9154-1248. Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes.

Degree: PhD, Geological sciences, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/68892

► This thesis explores the poroelastic effects of large subduction zone earthquakes using numerical models and a variety of datasets with the overarching goal of beginning…
(more)

Subjects/Keywords: Poroelasticity; Earthquakes; Post-seismic deformation; Geodetic inversion

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-9154-1248. (2018). Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68892

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-9154-1248. “Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/68892.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-9154-1248. “Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes.” 2018. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-9154-1248. Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/68892.

Author name may be incomplete

Council of Science Editors:

-9154-1248. Earthquakes, groundwater and surface deformation : exploring the poroelastic response to megathrust earthquakes. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68892

Author name may be incomplete

University of Texas – Austin

18. -8027-6805. The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow.

Degree: PhD, Geological Sciences, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/45934

► It is well known that ice sheets heavily influence groundwater systems, however, the impact of groundwater on ice sheet dynamics is not. This poorly understood…
(more)

Subjects/Keywords: Antarctica; Groundwater; Hydrogeology; Cryosphere; COMSOL; East Antarctic Ice Sheet; Basin-scale groundwater flow; Geothermal heat; Ice sheet hydrology; Mathematical models

Record Details Similar Records

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APA (6^{th} Edition):

-8027-6805. (2016). The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45934

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-8027-6805. “The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/45934.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-8027-6805. “The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow.” 2016. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-8027-6805. The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/45934.

Author name may be incomplete

Council of Science Editors:

-8027-6805. The effects of sedimentary basins on the dynamics of the East Antarctic Ice Sheet from enhanced groundwater and geothermal heat flow. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45934

Author name may be incomplete

University of Texas – Austin

19. -7973-3017. Uncertainty quantification in reservoirs with faults using a sequential approach.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/8359

► Reservoir simulation is critically important for optimally managing petroleum reservoirs. Often, many of the parameters of the model are unknown and cannot be measured directly.…
(more)

Subjects/Keywords: Reservoir simulation; Uncertainty quantification; MCMC; Bayesian inverse problems

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APA (6^{th} Edition):

-7973-3017. (2020). Uncertainty quantification in reservoirs with faults using a sequential approach. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8359

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-7973-3017. “Uncertainty quantification in reservoirs with faults using a sequential approach.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/8359.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-7973-3017. “Uncertainty quantification in reservoirs with faults using a sequential approach.” 2020. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-7973-3017. Uncertainty quantification in reservoirs with faults using a sequential approach. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/8359.

Author name may be incomplete

Council of Science Editors:

-7973-3017. Uncertainty quantification in reservoirs with faults using a sequential approach. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/8359

Author name may be incomplete

University of Texas – Austin

20. Kamensky, David Michael. Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves.

Degree: PhD, Computational science, engineering, and mathematics, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/46874

► The purpose of this dissertation is to develop numerical methods for fluid–structure interaction (FSI) analysis that are suitable for modeling and simulating bioprosthetic heart valves…
(more)

Subjects/Keywords: Fluid–structure interaction; Isogeometric analysis; Immersogeometric analysis

Record Details Similar Records

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APA (6^{th} Edition):

Kamensky, D. M. (2016). Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46874

Chicago Manual of Style (16^{th} Edition):

Kamensky, David Michael. “Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/46874.

MLA Handbook (7^{th} Edition):

Kamensky, David Michael. “Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves.” 2016. Web. 18 Jan 2021.

Vancouver:

Kamensky DM. Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/46874.

Council of Science Editors:

Kamensky DM. Immersogeometric fluid–structure interaction analysis of bioprosthetic heart valves. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46874

University of Texas – Austin

21. Shi, Yunzhi. Deep learning empowers the next generation of seismic interpretation.

Degree: PhD, Geological Sciences, 2020, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/9624

► With the ever developing data acquisition techniques, seismic processing deals with massive amount of high quality 3-D data with greater pressure to interpret the data…
(more)

Subjects/Keywords: Seismic interpretation; Deep learning; Artificial intelligence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Shi, Y. (2020). Deep learning empowers the next generation of seismic interpretation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/9624

Chicago Manual of Style (16^{th} Edition):

Shi, Yunzhi. “Deep learning empowers the next generation of seismic interpretation.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/9624.

MLA Handbook (7^{th} Edition):

Shi, Yunzhi. “Deep learning empowers the next generation of seismic interpretation.” 2020. Web. 18 Jan 2021.

Vancouver:

Shi Y. Deep learning empowers the next generation of seismic interpretation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/9624.

Council of Science Editors:

Shi Y. Deep learning empowers the next generation of seismic interpretation. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/9624

University of Texas – Austin

22. -0812-4510. Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling.

Degree: PhD, Geological Sciences, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/3393

► I study the physics and mechanics underlying seismic and aseismic slip. The slip behaviors are simulated by applying the rate and state friction formulation at…
(more)

Subjects/Keywords: Earthquake; Slow slip event; Numerical modelling; Scientific simulation; Rate and state friction; Damage/history dependent stress evolution; Finite element method; Semi-brittle shear zone; Shallow slip deficit

Record Details Similar Records

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APA (6^{th} Edition):

-0812-4510. (2019). Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/3393

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-0812-4510. “Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/3393.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-0812-4510. “Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling.” 2019. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-0812-4510. Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/3393.

Author name may be incomplete

Council of Science Editors:

-0812-4510. Earthquakes and slip transients through multi-dimensional and multi-physics thermomechanical modeling. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/3393

Author name may be incomplete

University of Texas – Austin

23. Graham, Lindley Christin. Adaptive measure-theoretic parameter estimation for coastal ocean modeling.

Degree: PhD, Computational science, engineering, and mathematics, 2015, University of Texas – Austin

URL: http://hdl.handle.net/2152/32435

► Since Hurricane Katrina (2005), there has been a marked increase in the quantity of field observations gathered during and after hurricanes. There has also been…
(more)

Subjects/Keywords: Manning’s n coefficient; Measure theory; Parameter estimation; Set-valued inverse solutions; Shallow water equations; Stochastic inverse problems

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APA (6^{th} Edition):

Graham, L. C. (2015). Adaptive measure-theoretic parameter estimation for coastal ocean modeling. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/32435

Chicago Manual of Style (16^{th} Edition):

Graham, Lindley Christin. “Adaptive measure-theoretic parameter estimation for coastal ocean modeling.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/32435.

MLA Handbook (7^{th} Edition):

Graham, Lindley Christin. “Adaptive measure-theoretic parameter estimation for coastal ocean modeling.” 2015. Web. 18 Jan 2021.

Vancouver:

Graham LC. Adaptive measure-theoretic parameter estimation for coastal ocean modeling. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/32435.

Council of Science Editors:

Graham LC. Adaptive measure-theoretic parameter estimation for coastal ocean modeling. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/32435

University of Texas – Austin

24. Zhang, Rongting. Hybrid inverse problems in molecular imaging.

Degree: PhD, Mathematics, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/61379

► Hybrid inverse problems refer to inverse problems where two partial differential equations of different types are coupled. Such problems appear in modern hybrid imaging modalities…
(more)

Subjects/Keywords: Photoacoustic tomography; Inverse problems; Quantitative fluorescence photoacoustic tomography; Two-photon photoacoustic tomography

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APA (6^{th} Edition):

Zhang, R. (2017). Hybrid inverse problems in molecular imaging. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61379

Chicago Manual of Style (16^{th} Edition):

Zhang, Rongting. “Hybrid inverse problems in molecular imaging.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/61379.

MLA Handbook (7^{th} Edition):

Zhang, Rongting. “Hybrid inverse problems in molecular imaging.” 2017. Web. 18 Jan 2021.

Vancouver:

Zhang R. Hybrid inverse problems in molecular imaging. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/61379.

Council of Science Editors:

Zhang R. Hybrid inverse problems in molecular imaging. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61379

25. -4190-6493. Dynamically adaptive data-driven simulation of extreme hydrological flows.

Degree: PhD, Engineering Mechanics, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/3153

► Hydrological hazards such as storm surges, tsunamis, and rainfall-induced flooding are physically complex events that are costly in loss of human life and economic productivity.…
(more)

Subjects/Keywords: Data assimilation; Ensemble Kalman filter; Adaptive mesh refinement; Tsunami; Okada model; Shallow water equations; Uncertainty quantification

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-4190-6493. (2019). Dynamically adaptive data-driven simulation of extreme hydrological flows. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/3153

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-4190-6493. “Dynamically adaptive data-driven simulation of extreme hydrological flows.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/3153.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-4190-6493. “Dynamically adaptive data-driven simulation of extreme hydrological flows.” 2019. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-4190-6493. Dynamically adaptive data-driven simulation of extreme hydrological flows. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/3153.

Author name may be incomplete

Council of Science Editors:

-4190-6493. Dynamically adaptive data-driven simulation of extreme hydrological flows. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/3153

Author name may be incomplete

University of Texas – Austin

26. Toshniwal, Deepesh. Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2019, University of Texas – Austin

URL: http://dx.doi.org/10.26153/tsw/4799

► Isogeometric Analysis or IGA was introduced by Hughes et al. (2005) to facilitate efficient design-through-analysis cycles for engineered objects. The goal of this technology is…
(more)

Subjects/Keywords: Isogeometric Analysis; Finite elements; Smooth splines; Unstructured meshes; Non-uniform degree splines; Dimension formula; Corrosion modeling

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Toshniwal, D. (2019). Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/4799

Chicago Manual of Style (16^{th} Edition):

Toshniwal, Deepesh. “Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://dx.doi.org/10.26153/tsw/4799.

MLA Handbook (7^{th} Edition):

Toshniwal, Deepesh. “Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion.” 2019. Web. 18 Jan 2021.

Vancouver:

Toshniwal D. Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2021 Jan 18]. Available from: http://dx.doi.org/10.26153/tsw/4799.

Council of Science Editors:

Toshniwal D. Isogeometric Analysis : study of non-uniform degree and unstructured splines, and application to phase field modeling of corrosion. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/4799

University of Texas – Austin

27. Gilbert, Andrew James. Noninvasive material discrimination using spectral radiography and an inverse problem approach.

Degree: PhD, Mechanical Engineering, 2014, University of Texas – Austin

URL: http://hdl.handle.net/2152/46534

► Noninvasive material discrimination of an arbitrary object is applicable to a wide range of fields, including medical scans, security inspections, nuclear safeguards, and nuclear material…
(more)

Subjects/Keywords: X-ray; Radiography; Inverse problems; Material discrimination

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APA (6^{th} Edition):

Gilbert, A. J. (2014). Noninvasive material discrimination using spectral radiography and an inverse problem approach. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46534

Chicago Manual of Style (16^{th} Edition):

Gilbert, Andrew James. “Noninvasive material discrimination using spectral radiography and an inverse problem approach.” 2014. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/46534.

MLA Handbook (7^{th} Edition):

Gilbert, Andrew James. “Noninvasive material discrimination using spectral radiography and an inverse problem approach.” 2014. Web. 18 Jan 2021.

Vancouver:

Gilbert AJ. Noninvasive material discrimination using spectral radiography and an inverse problem approach. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2014. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/46534.

Council of Science Editors:

Gilbert AJ. Noninvasive material discrimination using spectral radiography and an inverse problem approach. [Doctoral Dissertation]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/46534

University of Texas – Austin

28. -3203-266X. Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2016, University of Texas – Austin

URL: http://hdl.handle.net/2152/46973

► Large-scale utilization of photovoltaic (PV) devices, or solar cells, has been hampered for years due to high costs and lack of energy storage mechanisms. Photoelectrochemical…
(more)

Subjects/Keywords: Discontinuous Galerkin methods; Mixed methods; Domain decomposition methods; Solar cells

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-3203-266X. (2016). Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46973

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-3203-266X. “Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/46973.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-3203-266X. “Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells.” 2016. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-3203-266X. Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/46973.

Author name may be incomplete

Council of Science Editors:

-3203-266X. Numerical algorithms based on Galerkin methods for the modeling of reactive interfaces in photoelectrochemical solar cells. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46973

Author name may be incomplete

29. -1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model.

Degree: PhD, Computational Science, Engineering, and Mathematics, 2017, University of Texas – Austin

URL: http://hdl.handle.net/2152/61822

► Polar ice sheets are losing mass at a growing rate, and are likely to make a dominant contribution to 21st century sea-level rise. Thus, modeling…
(more)

Subjects/Keywords: Inverse problem; Thermomechanically coupled model; Complementarity conditions; Ice sheet

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-1325-4005. (2017). Inverse problems for basal properties in a thermomechanically coupled ice sheet model. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/61822

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-1325-4005. “Inverse problems for basal properties in a thermomechanically coupled ice sheet model.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/61822.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-1325-4005. “Inverse problems for basal properties in a thermomechanically coupled ice sheet model.” 2017. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/61822.

Author name may be incomplete

Council of Science Editors:

-1325-4005. Inverse problems for basal properties in a thermomechanically coupled ice sheet model. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/61822

Author name may be incomplete

30. -7238-7978. Optimal transport for seismic inverse problems.

Degree: PhD, Mathematics, 2018, University of Texas – Austin

URL: http://hdl.handle.net/2152/65848

► Seismic data contains interpretable information about subsurface properties, which are important for exploration geophysics. Full waveform inversion (FWI) is a nonlinear inverse technique that inverts…
(more)

Subjects/Keywords: Numerical analysis; Optimal transport; Full-waveform inversion; Seismic imaging; Optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

-7238-7978. (2018). Optimal transport for seismic inverse problems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/65848

Author name may be incomplete

Chicago Manual of Style (16^{th} Edition):

-7238-7978. “Optimal transport for seismic inverse problems.” 2018. Doctoral Dissertation, University of Texas – Austin. Accessed January 18, 2021. http://hdl.handle.net/2152/65848.

Author name may be incomplete

MLA Handbook (7^{th} Edition):

-7238-7978. “Optimal transport for seismic inverse problems.” 2018. Web. 18 Jan 2021.

Author name may be incomplete

Vancouver:

-7238-7978. Optimal transport for seismic inverse problems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2018. [cited 2021 Jan 18]. Available from: http://hdl.handle.net/2152/65848.

Author name may be incomplete

Council of Science Editors:

-7238-7978. Optimal transport for seismic inverse problems. [Doctoral Dissertation]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/65848

Author name may be incomplete