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You searched for +publisher:"Georgia Tech" +contributor:("Chow, Edmond"). Showing records 1 – 28 of 28 total matches.

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Georgia Tech

1. Rattner, Alexander S. Single-pressure absorption refrigeration systems for low-source-temperature applications.

Degree: PhD, Mechanical Engineering, 2015, Georgia Tech

 The diffusion absorption refrigeration (DAR) cycle is a promising technology for fully thermally driven cooling. It is well suited to applications in medicine refrigeration and… (more)

Subjects/Keywords: Absorption refrigeration; Passive refrigeration; Waste heat recovery; Two-phase flow; Phase-change; Computational fluid dynamics

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APA (6th Edition):

Rattner, A. S. (2015). Single-pressure absorption refrigeration systems for low-source-temperature applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53912

Chicago Manual of Style (16th Edition):

Rattner, Alexander S. “Single-pressure absorption refrigeration systems for low-source-temperature applications.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53912.

MLA Handbook (7th Edition):

Rattner, Alexander S. “Single-pressure absorption refrigeration systems for low-source-temperature applications.” 2015. Web. 20 Sep 2019.

Vancouver:

Rattner AS. Single-pressure absorption refrigeration systems for low-source-temperature applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53912.

Council of Science Editors:

Rattner AS. Single-pressure absorption refrigeration systems for low-source-temperature applications. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53912


Georgia Tech

2. Schieber, Matthew Cole. Optimizing computational kernels in quantum chemistry.

Degree: MS, Computational Science and Engineering, 2018, Georgia Tech

 Density fitting is a rank reduction technique popularly used in quantum chemistry in order to reduce the computational cost of evaluating, transforming, and processing the… (more)

Subjects/Keywords: Quantum chemistry; Parallel computing; High performance computing

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APA (6th Edition):

Schieber, M. C. (2018). Optimizing computational kernels in quantum chemistry. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59949

Chicago Manual of Style (16th Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/59949.

MLA Handbook (7th Edition):

Schieber, Matthew Cole. “Optimizing computational kernels in quantum chemistry.” 2018. Web. 20 Sep 2019.

Vancouver:

Schieber MC. Optimizing computational kernels in quantum chemistry. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/59949.

Council of Science Editors:

Schieber MC. Optimizing computational kernels in quantum chemistry. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59949


Georgia Tech

3. Hon, Ryan Paul. Development of methods and tools for on-the-fly response function generation for criticality calculations.

Degree: PhD, Mechanical Engineering, 2016, Georgia Tech

 Stochastic Particle Response Calculator, SPaRC, is a new stochastic neutron transport code that has been developed and optimized for the computation of response functions for… (more)

Subjects/Keywords: Neutron transport

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APA (6th Edition):

Hon, R. P. (2016). Development of methods and tools for on-the-fly response function generation for criticality calculations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58184

Chicago Manual of Style (16th Edition):

Hon, Ryan Paul. “Development of methods and tools for on-the-fly response function generation for criticality calculations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/58184.

MLA Handbook (7th Edition):

Hon, Ryan Paul. “Development of methods and tools for on-the-fly response function generation for criticality calculations.” 2016. Web. 20 Sep 2019.

Vancouver:

Hon RP. Development of methods and tools for on-the-fly response function generation for criticality calculations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/58184.

Council of Science Editors:

Hon RP. Development of methods and tools for on-the-fly response function generation for criticality calculations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58184


Georgia Tech

4. Buaria, Dhawal. Lagrangian investigations of turbulent dispersion and mixing using petascale computing.

Degree: PhD, Aerospace Engineering, 2016, Georgia Tech

 In many fields of science and engineering important to society, such as study of air/water quality, pollutant dispersion, cloud physics, design of improved combustion devices,… (more)

Subjects/Keywords: Turbulent dispersion; Turbulent mixing; Direct numerical simulations; High performance computing

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APA (6th Edition):

Buaria, D. (2016). Lagrangian investigations of turbulent dispersion and mixing using petascale computing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58572

Chicago Manual of Style (16th Edition):

Buaria, Dhawal. “Lagrangian investigations of turbulent dispersion and mixing using petascale computing.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/58572.

MLA Handbook (7th Edition):

Buaria, Dhawal. “Lagrangian investigations of turbulent dispersion and mixing using petascale computing.” 2016. Web. 20 Sep 2019.

Vancouver:

Buaria D. Lagrangian investigations of turbulent dispersion and mixing using petascale computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/58572.

Council of Science Editors:

Buaria D. Lagrangian investigations of turbulent dispersion and mixing using petascale computing. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/58572


Georgia Tech

5. Henneking, Stefan. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.

Degree: MS, Computational Science and Engineering, 2016, Georgia Tech

 In a parallel vertex-centered finite element multigrid solver, segmental refinement can be used to avoid all inter-process communication on the fine grids. While domain decomposition… (more)

Subjects/Keywords: Multigrid; Segmental refinement; Communication-avoiding

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APA (6th Edition):

Henneking, S. (2016). Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55050

Chicago Manual of Style (16th Edition):

Henneking, Stefan. “Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.” 2016. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/55050.

MLA Handbook (7th Edition):

Henneking, Stefan. “Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver.” 2016. Web. 20 Sep 2019.

Vancouver:

Henneking S. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/55050.

Council of Science Editors:

Henneking S. Implementation and analysis of a parallel vertex-centered finite element segmental refinement multigrid solver. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55050


Georgia Tech

6. Liu, Jingfang. Adaptive iterative filtering methods for nonlinear signal analysis and applications.

Degree: PhD, Mathematics, 2013, Georgia Tech

 Time-frequency analysis for non-linear and non-stationary signals is extraordinarily challenging. To capture the changes in these types of signals, it is necessary for the analysis… (more)

Subjects/Keywords: Time-frequency analysis; EMD; Iterative filtering; ALIF; Instantaneous frequency

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APA (6th Edition):

Liu, J. (2013). Adaptive iterative filtering methods for nonlinear signal analysis and applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52169

Chicago Manual of Style (16th Edition):

Liu, Jingfang. “Adaptive iterative filtering methods for nonlinear signal analysis and applications.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/52169.

MLA Handbook (7th Edition):

Liu, Jingfang. “Adaptive iterative filtering methods for nonlinear signal analysis and applications.” 2013. Web. 20 Sep 2019.

Vancouver:

Liu J. Adaptive iterative filtering methods for nonlinear signal analysis and applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/52169.

Council of Science Editors:

Liu J. Adaptive iterative filtering methods for nonlinear signal analysis and applications. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52169


Georgia Tech

7. Jian, Yong-Dian. Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Simultaneous localization and mapping (SLAM) and Structure from Motion (SfM) are important problems in robotics and computer vision. One of the challenges is to solve… (more)

Subjects/Keywords: SLAM; Structure from motion; Preconditioning; Subgraph preconditioner; Support theory

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APA (6th Edition):

Jian, Y. (2014). Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52272

Chicago Manual of Style (16th Edition):

Jian, Yong-Dian. “Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/52272.

MLA Handbook (7th Edition):

Jian, Yong-Dian. “Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion.” 2014. Web. 20 Sep 2019.

Vancouver:

Jian Y. Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/52272.

Council of Science Editors:

Jian Y. Support-theoretic subgraph preconditioners for large-scale SLAM and structure from motion. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52272


Georgia Tech

8. Parrish, Robert M. Rank reduction methods in electronic structure theory.

Degree: PhD, Chemistry and Biochemistry, 2015, Georgia Tech

 Quantum chemistry is plagued by the presence of high-rank quantities, stemming from the N-body nature of the electronic Schrödinger equation. These high-rank quantities present a… (more)

Subjects/Keywords: Rank reduction; Electronic structure theory; Tensor decomposition; Intermolecular interactions

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APA (6th Edition):

Parrish, R. M. (2015). Rank reduction methods in electronic structure theory. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53850

Chicago Manual of Style (16th Edition):

Parrish, Robert M. “Rank reduction methods in electronic structure theory.” 2015. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53850.

MLA Handbook (7th Edition):

Parrish, Robert M. “Rank reduction methods in electronic structure theory.” 2015. Web. 20 Sep 2019.

Vancouver:

Parrish RM. Rank reduction methods in electronic structure theory. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53850.

Council of Science Editors:

Parrish RM. Rank reduction methods in electronic structure theory. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53850


Georgia Tech

9. Pratapa, Phanisri Pradeep. Towards electronic structure calculations at the Exascale.

Degree: PhD, Civil and Environmental Engineering, 2016, Georgia Tech

 Development of new materials needs better understanding of the behavior of materials at nanoscale which involves accurate simulation of atomic and electronic interactions. Electronic structure… (more)

Subjects/Keywords: Density functional theory; Spectral quadrature; Clenshaw–Curtis; Linear-scaling; Metallic systems; Quantum molecular dynamics; Linear systems of equations; Iterative solver; Parallel computing

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APA (6th Edition):

Pratapa, P. P. (2016). Towards electronic structure calculations at the Exascale. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55635

Chicago Manual of Style (16th Edition):

Pratapa, Phanisri Pradeep. “Towards electronic structure calculations at the Exascale.” 2016. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/55635.

MLA Handbook (7th Edition):

Pratapa, Phanisri Pradeep. “Towards electronic structure calculations at the Exascale.” 2016. Web. 20 Sep 2019.

Vancouver:

Pratapa PP. Towards electronic structure calculations at the Exascale. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/55635.

Council of Science Editors:

Pratapa PP. Towards electronic structure calculations at the Exascale. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55635


Georgia Tech

10. Zhang, Peng. Hardness and tractability for structured numerical problems.

Degree: PhD, Computer Science, 2018, Georgia Tech

 We study structured linear systems and structured linear programs (LPs) from both algorithm and complexity perspectives. These structured problems commonly arise in combinatorial optimization, machine… (more)

Subjects/Keywords: Linear systems; Linear programs; Hardness; Algorithms; Generalized Laplacian matrices; Packing and covering LPs

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APA (6th Edition):

Zhang, P. (2018). Hardness and tractability for structured numerical problems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60735

Chicago Manual of Style (16th Edition):

Zhang, Peng. “Hardness and tractability for structured numerical problems.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60735.

MLA Handbook (7th Edition):

Zhang, Peng. “Hardness and tractability for structured numerical problems.” 2018. Web. 20 Sep 2019.

Vancouver:

Zhang P. Hardness and tractability for structured numerical problems. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60735.

Council of Science Editors:

Zhang P. Hardness and tractability for structured numerical problems. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60735


Georgia Tech

11. Fang, Xiaolei. Predictive analytics for complex engineering systems using high-dimensional signals.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

 Tremendous maintenance and operational expenditure are incurred due to unexpected failures, and inefficient maintenance and operational practices. Consequently, many capital-intensive assets used in the energy,… (more)

Subjects/Keywords: Predictive analytics; Data analytics; Big data

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APA (6th Edition):

Fang, X. (2018). Predictive analytics for complex engineering systems using high-dimensional signals. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59929

Chicago Manual of Style (16th Edition):

Fang, Xiaolei. “Predictive analytics for complex engineering systems using high-dimensional signals.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/59929.

MLA Handbook (7th Edition):

Fang, Xiaolei. “Predictive analytics for complex engineering systems using high-dimensional signals.” 2018. Web. 20 Sep 2019.

Vancouver:

Fang X. Predictive analytics for complex engineering systems using high-dimensional signals. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/59929.

Council of Science Editors:

Fang X. Predictive analytics for complex engineering systems using high-dimensional signals. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59929


Georgia Tech

12. Du, Rundong. Nonnegative matrix factorization for text, graph, and hybrid data analytics.

Degree: PhD, Mathematics, 2018, Georgia Tech

 Constrained low rank approximation is a general framework for data analysis, which usually has the advantage of being simple, fast, scalable and domain general. One… (more)

Subjects/Keywords: Constrained low rank approximation; Nonnegative matrix factorization; Data analytics; Content clustering; Graph clustering

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APA (6th Edition):

Du, R. (2018). Nonnegative matrix factorization for text, graph, and hybrid data analytics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59914

Chicago Manual of Style (16th Edition):

Du, Rundong. “Nonnegative matrix factorization for text, graph, and hybrid data analytics.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/59914.

MLA Handbook (7th Edition):

Du, Rundong. “Nonnegative matrix factorization for text, graph, and hybrid data analytics.” 2018. Web. 20 Sep 2019.

Vancouver:

Du R. Nonnegative matrix factorization for text, graph, and hybrid data analytics. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/59914.

Council of Science Editors:

Du R. Nonnegative matrix factorization for text, graph, and hybrid data analytics. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59914


Georgia Tech

13. Clay, Matthew Paul. Strained turbulence and low-diffusivity turbulent mixing using high performance computing.

Degree: PhD, Aerospace Engineering, 2017, Georgia Tech

 In this thesis, turbulent flows are studied using the method of direct numerical simulation (DNS), whereby exact governing equations are computed without modeling. Beginning with… (more)

Subjects/Keywords: Turbulence; DNS; High performance computing

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APA (6th Edition):

Clay, M. P. (2017). Strained turbulence and low-diffusivity turbulent mixing using high performance computing. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60184

Chicago Manual of Style (16th Edition):

Clay, Matthew Paul. “Strained turbulence and low-diffusivity turbulent mixing using high performance computing.” 2017. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60184.

MLA Handbook (7th Edition):

Clay, Matthew Paul. “Strained turbulence and low-diffusivity turbulent mixing using high performance computing.” 2017. Web. 20 Sep 2019.

Vancouver:

Clay MP. Strained turbulence and low-diffusivity turbulent mixing using high performance computing. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60184.

Council of Science Editors:

Clay MP. Strained turbulence and low-diffusivity turbulent mixing using high performance computing. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60184


Georgia Tech

14. Bakr, Brandon Wallace. Symmetry-adapted perturbation theory for organocatalysis.

Degree: PhD, Chemistry and Biochemistry, 2018, Georgia Tech

 Functional-group and atomic partitions of symmetry-adapted perturbation theory (SAPT) were used, for the first time, to analyze non-covalent interactions thought to influence the selectivity of… (more)

Subjects/Keywords: Symmetry-adapted perturbation theory; Organocatalysis

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APA (6th Edition):

Bakr, B. W. (2018). Symmetry-adapted perturbation theory for organocatalysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60207

Chicago Manual of Style (16th Edition):

Bakr, Brandon Wallace. “Symmetry-adapted perturbation theory for organocatalysis.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60207.

MLA Handbook (7th Edition):

Bakr, Brandon Wallace. “Symmetry-adapted perturbation theory for organocatalysis.” 2018. Web. 20 Sep 2019.

Vancouver:

Bakr BW. Symmetry-adapted perturbation theory for organocatalysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60207.

Council of Science Editors:

Bakr BW. Symmetry-adapted perturbation theory for organocatalysis. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60207


Georgia Tech

15. Czechowski, Kenneth. Diagnosing Performance Bottlenecks in HPC Applications.

Degree: PhD, Computational Science and Engineering, 2019, Georgia Tech

 The software performance optimizations process is one of the most challenging aspects of developing highly performant code because underlying performance limitations are hard to diagnose.… (more)

Subjects/Keywords: HPC

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APA (6th Edition):

Czechowski, K. (2019). Diagnosing Performance Bottlenecks in HPC Applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61261

Chicago Manual of Style (16th Edition):

Czechowski, Kenneth. “Diagnosing Performance Bottlenecks in HPC Applications.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/61261.

MLA Handbook (7th Edition):

Czechowski, Kenneth. “Diagnosing Performance Bottlenecks in HPC Applications.” 2019. Web. 20 Sep 2019.

Vancouver:

Czechowski K. Diagnosing Performance Bottlenecks in HPC Applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/61261.

Council of Science Editors:

Czechowski K. Diagnosing Performance Bottlenecks in HPC Applications. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61261


Georgia Tech

16. Lohse, Alexander Mark. Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites.

Degree: PhD, Materials Science and Engineering, 2018, Georgia Tech

 The use of composite materials has risen significantly over the past several decades as many industries begin to take advantage of the high specific strength,… (more)

Subjects/Keywords: Molecular dynamics; Polymeric matrix composites; Covalent adaptable networks; ReaxFF; Carbon fiber

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APA (6th Edition):

Lohse, A. M. (2018). Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61664

Chicago Manual of Style (16th Edition):

Lohse, Alexander Mark. “Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/61664.

MLA Handbook (7th Edition):

Lohse, Alexander Mark. “Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites.” 2018. Web. 20 Sep 2019.

Vancouver:

Lohse AM. Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/61664.

Council of Science Editors:

Lohse AM. Structure-Property Relationships from Molecular Simulation of Polymeric Matrix Composites. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/61664


Georgia Tech

17. Zhou, Fan. Statistical inference for high dimensional data with low rank structure.

Degree: PhD, Mathematics, 2018, Georgia Tech

 We study two major topics on statistical inference for high dimensional data with low rank structure occurred in many machine learning and statistics applications. The… (more)

Subjects/Keywords: Nonparametric statistics; Matrix completion; Low rank; Nuclear norm; Tensor; Singular vector perturbation

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APA (6th Edition):

Zhou, F. (2018). Statistical inference for high dimensional data with low rank structure. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60750

Chicago Manual of Style (16th Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60750.

MLA Handbook (7th Edition):

Zhou, Fan. “Statistical inference for high dimensional data with low rank structure.” 2018. Web. 20 Sep 2019.

Vancouver:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60750.

Council of Science Editors:

Zhou F. Statistical inference for high dimensional data with low rank structure. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60750


Georgia Tech

18. Sao, Piyush kumar. Scalable and resilient sparse linear solvers.

Degree: PhD, Computational Science and Engineering, 2018, Georgia Tech

 Solving a large and sparse system of linear equations is a ubiquitous problem in scientific computing. The challenges in scaling such solvers on current and… (more)

Subjects/Keywords: Sparse linear solver; Distributed computing; Communication avoiding algorithm; Numerical linear algebra; Fault-tolerance

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APA (6th Edition):

Sao, P. k. (2018). Scalable and resilient sparse linear solvers. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60233

Chicago Manual of Style (16th Edition):

Sao, Piyush kumar. “Scalable and resilient sparse linear solvers.” 2018. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60233.

MLA Handbook (7th Edition):

Sao, Piyush kumar. “Scalable and resilient sparse linear solvers.” 2018. Web. 20 Sep 2019.

Vancouver:

Sao Pk. Scalable and resilient sparse linear solvers. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60233.

Council of Science Editors:

Sao Pk. Scalable and resilient sparse linear solvers. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60233

19. Vasyliv, Yaroslav V. Development of general finite differences for complex geometries using immersed boundary method.

Degree: MS, Mechanical Engineering, 2015, Georgia Tech

 In meshfree methods, partial differential equations are solved on an unstructured cloud of points distributed throughout the computational domain. In collocated meshfree methods, the differential… (more)

Subjects/Keywords: Collocated meshfree methods; General finite differences; Sharp interface; Immersed boundary method; Poisson disk sampling; Moving least squares; Smoothed particle hydrodynamics

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APA (6th Edition):

Vasyliv, Y. V. (2015). Development of general finite differences for complex geometries using immersed boundary method. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54425

Chicago Manual of Style (16th Edition):

Vasyliv, Yaroslav V. “Development of general finite differences for complex geometries using immersed boundary method.” 2015. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/54425.

MLA Handbook (7th Edition):

Vasyliv, Yaroslav V. “Development of general finite differences for complex geometries using immersed boundary method.” 2015. Web. 20 Sep 2019.

Vancouver:

Vasyliv YV. Development of general finite differences for complex geometries using immersed boundary method. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/54425.

Council of Science Editors:

Vasyliv YV. Development of general finite differences for complex geometries using immersed boundary method. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54425

20. Ma, Benson Jer-Tsung. Brownian dynamics studies of DNA internal motions.

Degree: MS, Computational Science and Engineering, 2018, Georgia Tech

 Earlier studies by Chow and Skolnick suggest that the internal motions of bacterial DNA may be governed by strong forces arising from being crowded into… (more)

Subjects/Keywords: Brownian dynamics simulation; DNA internal motions; Protein diffusion; Macromolecular crowding

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APA (6th Edition):

Ma, B. J. (2018). Brownian dynamics studies of DNA internal motions. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60813

Chicago Manual of Style (16th Edition):

Ma, Benson Jer-Tsung. “Brownian dynamics studies of DNA internal motions.” 2018. Masters Thesis, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/60813.

MLA Handbook (7th Edition):

Ma, Benson Jer-Tsung. “Brownian dynamics studies of DNA internal motions.” 2018. Web. 20 Sep 2019.

Vancouver:

Ma BJ. Brownian dynamics studies of DNA internal motions. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/60813.

Council of Science Editors:

Ma BJ. Brownian dynamics studies of DNA internal motions. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60813

21. Wang, Xiaolin. A numerical study of vorticity-enhanced heat transfer.

Degree: PhD, Mathematics, 2014, Georgia Tech

 In this work, we have numerically studied the effect of the vorticity on the enhancement of heat transfer in a channel flow. In the first… (more)

Subjects/Keywords: Vorticity; Heat transfer; Enhancement

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APA (6th Edition):

Wang, X. (2014). A numerical study of vorticity-enhanced heat transfer. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54017

Chicago Manual of Style (16th Edition):

Wang, Xiaolin. “A numerical study of vorticity-enhanced heat transfer.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/54017.

MLA Handbook (7th Edition):

Wang, Xiaolin. “A numerical study of vorticity-enhanced heat transfer.” 2014. Web. 20 Sep 2019.

Vancouver:

Wang X. A numerical study of vorticity-enhanced heat transfer. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/54017.

Council of Science Editors:

Wang X. A numerical study of vorticity-enhanced heat transfer. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54017

22. Xiao, Bo. Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

 In this dissertation, we explore parallel algorithms for general N-Body problems in high dimensions, and their applications in machine learning and image analysis on distributed… (more)

Subjects/Keywords: Parallel algorithms; Bayesian inference; Generalized N-body problem

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APA (6th Edition):

Xiao, B. (2014). Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53052

Chicago Manual of Style (16th Edition):

Xiao, Bo. “Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53052.

MLA Handbook (7th Edition):

Xiao, Bo. “Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis.” 2014. Web. 20 Sep 2019.

Vancouver:

Xiao B. Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53052.

Council of Science Editors:

Xiao B. Parallel algorithms for generalized N-body problem in high dimensions and their applications for bayesian inference and image analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53052

23. Saeed, Usman. Adaptive numerical techniques for the solution of electromagnetic integral equations.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 Various error estimation and adaptive refinement techniques for the solution of electromagnetic integral equations were developed. Residual based error estimators and h-refinement implementations were done… (more)

Subjects/Keywords: Error estimation; Electromagnetic integral equations; Boundary element method; LCN; Method of moments; Adaptive refinement; Electromagnetic measurements; Electromagnetism Mathematical models; Moments method (Statistics); Numerical grid generation (Numerical analysis)

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APA (6th Edition):

Saeed, U. (2011). Adaptive numerical techniques for the solution of electromagnetic integral equations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41173

Chicago Manual of Style (16th Edition):

Saeed, Usman. “Adaptive numerical techniques for the solution of electromagnetic integral equations.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/41173.

MLA Handbook (7th Edition):

Saeed, Usman. “Adaptive numerical techniques for the solution of electromagnetic integral equations.” 2011. Web. 20 Sep 2019.

Vancouver:

Saeed U. Adaptive numerical techniques for the solution of electromagnetic integral equations. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/41173.

Council of Science Editors:

Saeed U. Adaptive numerical techniques for the solution of electromagnetic integral equations. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41173

24. Lee, Dong Ryeol. A distributed kernel summation framework for machine learning and scientific applications.

Degree: PhD, Computing, 2012, Georgia Tech

 The class of computational problems I consider in this thesis share the common trait of requiring consideration of pairs (or higher-order tuples) of data points.… (more)

Subjects/Keywords: Distributed and shared memory parallelism; Parallel multitree methods; Fast Gauss transforms; Fast multipole methods; Parallel machine learning; Parallel kernel methods; Multidimensional trees; Kernel functions; Machine learning; Algorithms

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APA (6th Edition):

Lee, D. R. (2012). A distributed kernel summation framework for machine learning and scientific applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44727

Chicago Manual of Style (16th Edition):

Lee, Dong Ryeol. “A distributed kernel summation framework for machine learning and scientific applications.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/44727.

MLA Handbook (7th Edition):

Lee, Dong Ryeol. “A distributed kernel summation framework for machine learning and scientific applications.” 2012. Web. 20 Sep 2019.

Vancouver:

Lee DR. A distributed kernel summation framework for machine learning and scientific applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/44727.

Council of Science Editors:

Lee DR. A distributed kernel summation framework for machine learning and scientific applications. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44727

25. Riegel, Ryan Nelson. Generalized N-body problems: a framework for scalable computation.

Degree: PhD, Computational Science and Engineering, 2013, Georgia Tech

 In the wake of the Big Data phenomenon, the computing world has seen a number of computational paradigms developed in response to the sudden need… (more)

Subjects/Keywords: Fast algorithms; Generalized algorithms; Tree codes; Complexity analysis; Database-resident computation; Machine learning; Nearest neighbors; Kernel sums; Affinity propagation; Kernel discriminant analysis; Quasar identification; Big data; Parallel processing (Electronic computers); Many-body problem; Algorithms

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APA (6th Edition):

Riegel, R. N. (2013). Generalized N-body problems: a framework for scalable computation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50269

Chicago Manual of Style (16th Edition):

Riegel, Ryan Nelson. “Generalized N-body problems: a framework for scalable computation.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/50269.

MLA Handbook (7th Edition):

Riegel, Ryan Nelson. “Generalized N-body problems: a framework for scalable computation.” 2013. Web. 20 Sep 2019.

Vancouver:

Riegel RN. Generalized N-body problems: a framework for scalable computation. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/50269.

Council of Science Editors:

Riegel RN. Generalized N-body problems: a framework for scalable computation. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50269

26. Liu, Xing. High-performance algorithms and software for large-scale molecular simulation.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

 Molecular simulation is an indispensable tool in many different disciplines such as physics, biology, chemical engineering, materials science, drug design, and others. Performing large-scale molecular… (more)

Subjects/Keywords: High-performance computing; Parallel algorithm; Distributed computing; Heterogenous computing; Quantum chemistry; Stokesian dynamics; Brownian dynamics

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APA (6th Edition):

Liu, X. (2014). High-performance algorithms and software for large-scale molecular simulation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53487

Chicago Manual of Style (16th Edition):

Liu, Xing. “High-performance algorithms and software for large-scale molecular simulation.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/53487.

MLA Handbook (7th Edition):

Liu, Xing. “High-performance algorithms and software for large-scale molecular simulation.” 2014. Web. 20 Sep 2019.

Vancouver:

Liu X. High-performance algorithms and software for large-scale molecular simulation. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/53487.

Council of Science Editors:

Liu X. High-performance algorithms and software for large-scale molecular simulation. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53487

27. Huang, Wei. Surfacelet-based heterogeneous materials modeling.

Degree: PhD, Mechanical Engineering, 2014, Georgia Tech

 The application of heterogeneous materials has become common in modern product design such as composites and porous media. Computational design tools for such materials, with… (more)

Subjects/Keywords: Surfacelet; Heterogeneous materials; Materials design; Materials modeling; Computer-aided engineering

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APA (6th Edition):

Huang, W. (2014). Surfacelet-based heterogeneous materials modeling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52333

Chicago Manual of Style (16th Edition):

Huang, Wei. “Surfacelet-based heterogeneous materials modeling.” 2014. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/52333.

MLA Handbook (7th Edition):

Huang, Wei. “Surfacelet-based heterogeneous materials modeling.” 2014. Web. 20 Sep 2019.

Vancouver:

Huang W. Surfacelet-based heterogeneous materials modeling. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/52333.

Council of Science Editors:

Huang W. Surfacelet-based heterogeneous materials modeling. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52333

28. Mao, Wenbin. Modeling particle suspensions using lattice Boltzmann method.

Degree: PhD, Mechanical Engineering, 2013, Georgia Tech

 Particle suspensions are common both in nature and in various technological applications. The complex nature of hydrodynamic interactions between particles and the solvent makes such… (more)

Subjects/Keywords: Particle suspensions; Lattice Boltzmann method; Suspensions (Chemistry); Lattice Boltzmann methods; Fluid dynamics; Mechanics; Particles

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APA (6th Edition):

Mao, W. (2013). Modeling particle suspensions using lattice Boltzmann method. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50349

Chicago Manual of Style (16th Edition):

Mao, Wenbin. “Modeling particle suspensions using lattice Boltzmann method.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2019. http://hdl.handle.net/1853/50349.

MLA Handbook (7th Edition):

Mao, Wenbin. “Modeling particle suspensions using lattice Boltzmann method.” 2013. Web. 20 Sep 2019.

Vancouver:

Mao W. Modeling particle suspensions using lattice Boltzmann method. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 20]. Available from: http://hdl.handle.net/1853/50349.

Council of Science Editors:

Mao W. Modeling particle suspensions using lattice Boltzmann method. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50349

.