Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Materials informatics). Showing records 1 – 15 of 15 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Texas A&M University

1. Chaudhary, Nayan. A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels.

Degree: MS, Materials Science and Engineering, 2016, Texas A&M University

 The Material Genome Initiative (MGI) calls for establishing frameworks and adopting methodologies to accelerate materials discovery and deployment. The Integrated Computational Materials Engineering (ICME) approach… (more)

Subjects/Keywords: Stacking Fault Energy; Austenitic Steels; Machine Learning, Materials Informatics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chaudhary, N. (2016). A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174258

Chicago Manual of Style (16th Edition):

Chaudhary, Nayan. “A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels.” 2016. Masters Thesis, Texas A&M University. Accessed March 23, 2019. http://hdl.handle.net/1969.1/174258.

MLA Handbook (7th Edition):

Chaudhary, Nayan. “A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels.” 2016. Web. 23 Mar 2019.

Vancouver:

Chaudhary N. A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1969.1/174258.

Council of Science Editors:

Chaudhary N. A Data Driven Machine Learning Approach to Prediction of Stacking Fault Energy in Austenitic Steels. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/174258


University of California – Berkeley

2. De Jong, Maarten. First-Principles Approach to Materials Discovery, Design and Optimization: Applications to Transition-Metal Alloys and Functional Materials.

Degree: Materials Science & Engineering, 2015, University of California – Berkeley

 This dissertation broadly describes efforts related to materials discovery, design and optimizationusing a first-principles approach based on density functional theory (DFT).The two main application areas… (more)

Subjects/Keywords: Materials Science; Condensed matter physics; Mechanical engineering; Alloy design; High-throughput calculations; Materials informatics; Optimization; Piezoelectrics; Structural materials

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

De Jong, M. (2015). First-Principles Approach to Materials Discovery, Design and Optimization: Applications to Transition-Metal Alloys and Functional Materials. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/56w5r4wj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

De Jong, Maarten. “First-Principles Approach to Materials Discovery, Design and Optimization: Applications to Transition-Metal Alloys and Functional Materials.” 2015. Thesis, University of California – Berkeley. Accessed March 23, 2019. http://www.escholarship.org/uc/item/56w5r4wj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

De Jong, Maarten. “First-Principles Approach to Materials Discovery, Design and Optimization: Applications to Transition-Metal Alloys and Functional Materials.” 2015. Web. 23 Mar 2019.

Vancouver:

De Jong M. First-Principles Approach to Materials Discovery, Design and Optimization: Applications to Transition-Metal Alloys and Functional Materials. [Internet] [Thesis]. University of California – Berkeley; 2015. [cited 2019 Mar 23]. Available from: http://www.escholarship.org/uc/item/56w5r4wj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

De Jong M. First-Principles Approach to Materials Discovery, Design and Optimization: Applications to Transition-Metal Alloys and Functional Materials. [Thesis]. University of California – Berkeley; 2015. Available from: http://www.escholarship.org/uc/item/56w5r4wj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

3. Kong, Chang Sun. A materials informatics approach for crystal chemistry.

Degree: 2009, Iowa State University

 This thesis addresses one of the fundamental questions in materials crystal chemistry, namely why do atoms arrange themselves in the way they do? The ability… (more)

Subjects/Keywords: Classification tree; Crystal chemistry; Data mining; Information entropy; Materials informatics; Recursive partitioning; Materials Science and Engineering

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kong, C. S. (2009). A materials informatics approach for crystal chemistry. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/10831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kong, Chang Sun. “A materials informatics approach for crystal chemistry.” 2009. Thesis, Iowa State University. Accessed March 23, 2019. https://lib.dr.iastate.edu/etd/10831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kong, Chang Sun. “A materials informatics approach for crystal chemistry.” 2009. Web. 23 Mar 2019.

Vancouver:

Kong CS. A materials informatics approach for crystal chemistry. [Internet] [Thesis]. Iowa State University; 2009. [cited 2019 Mar 23]. Available from: https://lib.dr.iastate.edu/etd/10831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kong CS. A materials informatics approach for crystal chemistry. [Thesis]. Iowa State University; 2009. Available from: https://lib.dr.iastate.edu/etd/10831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

4. Liddy, Jonathan. Candidate Materials For High Temperature Tribological Applications.

Degree: 2011, University of Florida

 The purpose of this work is to reduce the amount of time from materials research to materials deployment. The methods that were employed to accomplish… (more)

Subjects/Keywords: Coefficient of friction; Correlations; Databases; Hardness; Informatics; Material properties; Materials science; Oxides; Principal components analysis; Statistical discrepancies; Databases; Friction; Materials

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liddy, J. (2011). Candidate Materials For High Temperature Tribological Applications. (Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00057776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liddy, Jonathan. “Candidate Materials For High Temperature Tribological Applications.” 2011. Thesis, University of Florida. Accessed March 23, 2019. http://ufdc.ufl.edu/AA00057776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liddy, Jonathan. “Candidate Materials For High Temperature Tribological Applications.” 2011. Web. 23 Mar 2019.

Vancouver:

Liddy J. Candidate Materials For High Temperature Tribological Applications. [Internet] [Thesis]. University of Florida; 2011. [cited 2019 Mar 23]. Available from: http://ufdc.ufl.edu/AA00057776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liddy J. Candidate Materials For High Temperature Tribological Applications. [Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/AA00057776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


National University of Ireland – Galway

5. Fagan, Edward. Design of fibre-reinforced polymer composite blades for wind and tidal turbines .

Degree: 2017, National University of Ireland – Galway

 There is substantial opportunity in the development of wind and tidal current turbines to help decarbonise national energy systems and to expand the economic potential… (more)

Subjects/Keywords: Wind turbine blades; Tidal turbine blades; Genetic algorithms; Fatigue design; Composite materials; Design automation; Civil engineering; Engineering and Informatics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fagan, E. (2017). Design of fibre-reinforced polymer composite blades for wind and tidal turbines . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/7158

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fagan, Edward. “Design of fibre-reinforced polymer composite blades for wind and tidal turbines .” 2017. Thesis, National University of Ireland – Galway. Accessed March 23, 2019. http://hdl.handle.net/10379/7158.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fagan, Edward. “Design of fibre-reinforced polymer composite blades for wind and tidal turbines .” 2017. Web. 23 Mar 2019.

Vancouver:

Fagan E. Design of fibre-reinforced polymer composite blades for wind and tidal turbines . [Internet] [Thesis]. National University of Ireland – Galway; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/10379/7158.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fagan E. Design of fibre-reinforced polymer composite blades for wind and tidal turbines . [Thesis]. National University of Ireland – Galway; 2017. Available from: http://hdl.handle.net/10379/7158

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Mississippi State University

6. Abuomar, Osama Yousef. A data analytic methodology for materials informatics.

Degree: PhD, Electrical and Computer Engineering, 2014, Mississippi State University

  A data analytic materials informatics methodology is proposed after applying different data mining techniques on some datasets of particular domain in order to discover… (more)

Subjects/Keywords: Vapor-grown carbon nanofiber; Vinyl ester; Materials informatics; Knowledge discovery; Data mining; Unsupervised learning; Supervised learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Abuomar, O. Y. (2014). A data analytic methodology for materials informatics. (Doctoral Dissertation). Mississippi State University. Retrieved from http://sun.library.msstate.edu/ETD-db/theses/available/etd-03052014-153648/ ;

Chicago Manual of Style (16th Edition):

Abuomar, Osama Yousef. “A data analytic methodology for materials informatics.” 2014. Doctoral Dissertation, Mississippi State University. Accessed March 23, 2019. http://sun.library.msstate.edu/ETD-db/theses/available/etd-03052014-153648/ ;.

MLA Handbook (7th Edition):

Abuomar, Osama Yousef. “A data analytic methodology for materials informatics.” 2014. Web. 23 Mar 2019.

Vancouver:

Abuomar OY. A data analytic methodology for materials informatics. [Internet] [Doctoral dissertation]. Mississippi State University; 2014. [cited 2019 Mar 23]. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03052014-153648/ ;.

Council of Science Editors:

Abuomar OY. A data analytic methodology for materials informatics. [Doctoral Dissertation]. Mississippi State University; 2014. Available from: http://sun.library.msstate.edu/ETD-db/theses/available/etd-03052014-153648/ ;


Georgia Tech

7. Gomberg, Joshua A. Data-driven PSP linkages for atomistic datasets.

Degree: PhD, Materials Science and Engineering, 2017, Georgia Tech

 For a variety of materials, atomic-scale modeling techniques are commonly employed as a means of investigating fundamental properties, including both structural and chemical responses. While… (more)

Subjects/Keywords: Grain boundaries; Materials informatics; Molecular dynamics; Pair correlation function; Principal component analysis; Process-structure-property linkage; Interatomic potentials; Multiscale modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Gomberg, J. A. (2017). Data-driven PSP linkages for atomistic datasets. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60125

Chicago Manual of Style (16th Edition):

Gomberg, Joshua A. “Data-driven PSP linkages for atomistic datasets.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 23, 2019. http://hdl.handle.net/1853/60125.

MLA Handbook (7th Edition):

Gomberg, Joshua A. “Data-driven PSP linkages for atomistic datasets.” 2017. Web. 23 Mar 2019.

Vancouver:

Gomberg JA. Data-driven PSP linkages for atomistic datasets. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1853/60125.

Council of Science Editors:

Gomberg JA. Data-driven PSP linkages for atomistic datasets. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60125


Kyoto University / 京都大学

8. Takahashi, Akira. Construction of interatomic potentials using large sets of DFT calculations and linear regression method : 網羅的第一原理計算と線形回帰を用いた原子間ポテンシャルの構築.

Degree: 博士(工学), 2017, Kyoto University / 京都大学

新制・課程博士

甲第20369号

工博第4306号

Subjects/Keywords: interatomic potential; DFT calculation; potential energy surface; materials informatics; linear regression

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Takahashi, A. (2017). Construction of interatomic potentials using large sets of DFT calculations and linear regression method : 網羅的第一原理計算と線形回帰を用いた原子間ポテンシャルの構築. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/225594 ; http://dx.doi.org/10.14989/doctor.k20369

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Takahashi, Akira. “Construction of interatomic potentials using large sets of DFT calculations and linear regression method : 網羅的第一原理計算と線形回帰を用いた原子間ポテンシャルの構築.” 2017. Thesis, Kyoto University / 京都大学. Accessed March 23, 2019. http://hdl.handle.net/2433/225594 ; http://dx.doi.org/10.14989/doctor.k20369.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Takahashi, Akira. “Construction of interatomic potentials using large sets of DFT calculations and linear regression method : 網羅的第一原理計算と線形回帰を用いた原子間ポテンシャルの構築.” 2017. Web. 23 Mar 2019.

Vancouver:

Takahashi A. Construction of interatomic potentials using large sets of DFT calculations and linear regression method : 網羅的第一原理計算と線形回帰を用いた原子間ポテンシャルの構築. [Internet] [Thesis]. Kyoto University / 京都大学; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/2433/225594 ; http://dx.doi.org/10.14989/doctor.k20369.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Takahashi A. Construction of interatomic potentials using large sets of DFT calculations and linear regression method : 網羅的第一原理計算と線形回帰を用いた原子間ポテンシャルの構築. [Thesis]. Kyoto University / 京都大学; 2017. Available from: http://hdl.handle.net/2433/225594 ; http://dx.doi.org/10.14989/doctor.k20369

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Kyoto University

9. Takahashi, Akira. Construction of interatomic potentials using large sets of DFT calculations and linear regression method .

Degree: 2017, Kyoto University

Subjects/Keywords: interatomic potential; DFT calculation; potential energy surface; materials informatics; linear regression

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Takahashi, A. (2017). Construction of interatomic potentials using large sets of DFT calculations and linear regression method . (Thesis). Kyoto University. Retrieved from http://hdl.handle.net/2433/225594

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Takahashi, Akira. “Construction of interatomic potentials using large sets of DFT calculations and linear regression method .” 2017. Thesis, Kyoto University. Accessed March 23, 2019. http://hdl.handle.net/2433/225594.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Takahashi, Akira. “Construction of interatomic potentials using large sets of DFT calculations and linear regression method .” 2017. Web. 23 Mar 2019.

Vancouver:

Takahashi A. Construction of interatomic potentials using large sets of DFT calculations and linear regression method . [Internet] [Thesis]. Kyoto University; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/2433/225594.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Takahashi A. Construction of interatomic potentials using large sets of DFT calculations and linear regression method . [Thesis]. Kyoto University; 2017. Available from: http://hdl.handle.net/2433/225594

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Fernandez-Zelaia, Patxi. Quantitative methods for inferring process-structure-property relations in machining.

Degree: PhD, Mechanical Engineering, 2018, Georgia Tech

 Metal machining subjects material to large strains (e > 1) at extremely high rates (rate > 1000 s-1) while simultaneously imposing heating due to dissipated… (more)

Subjects/Keywords: Machining; Severe plastic deformation; Materials informatics; Applied statistics

…popularized in the Materials Informatics community. SEM images are quantified using chord length… …usually rely on numerical simulation [35, 30, 31, 32, 5, 7, 6]. Materials informatics… …structures using advanced characterization techniques used by materials scientists (… …evolution. This understanding can enable the design and manufacture of functional materials and… …materials subject to machining. However, an outstanding issue associated with these works is the… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fernandez-Zelaia, P. (2018). Quantitative methods for inferring process-structure-property relations in machining. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60803

Chicago Manual of Style (16th Edition):

Fernandez-Zelaia, Patxi. “Quantitative methods for inferring process-structure-property relations in machining.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 23, 2019. http://hdl.handle.net/1853/60803.

MLA Handbook (7th Edition):

Fernandez-Zelaia, Patxi. “Quantitative methods for inferring process-structure-property relations in machining.” 2018. Web. 23 Mar 2019.

Vancouver:

Fernandez-Zelaia P. Quantitative methods for inferring process-structure-property relations in machining. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1853/60803.

Council of Science Editors:

Fernandez-Zelaia P. Quantitative methods for inferring process-structure-property relations in machining. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60803

11. Samudrala, Sai Kiranmayee. Scalable Techniques for the Analysis of Large-scale Materials Data.

Degree: 2013, Iowa State University

 Many physical systems of fundamental and industrial importance are significantly affected by the development of new materials. By establishing process-structure-property relationship one can design new,… (more)

Subjects/Keywords: High-performance Computing; Materials Informatics; Model Reduction; Scientific data mining; Applied Mathematics; Mechanics of Materials

Informatics [112]. Materials Informatics is a new branch of materials engineering that… …Furthermore, materials informatics can form a very good supplementary strategy to provide insights… …fundamental and industrial importance are significantly affected by the development of new materials… …materials that possess desired properties. Conventional experimental and analytical techniques… …order to establish process-structure-property relationship of materials. First of the three… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Samudrala, S. K. (2013). Scalable Techniques for the Analysis of Large-scale Materials Data. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/13230

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Samudrala, Sai Kiranmayee. “Scalable Techniques for the Analysis of Large-scale Materials Data.” 2013. Thesis, Iowa State University. Accessed March 23, 2019. https://lib.dr.iastate.edu/etd/13230.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Samudrala, Sai Kiranmayee. “Scalable Techniques for the Analysis of Large-scale Materials Data.” 2013. Web. 23 Mar 2019.

Vancouver:

Samudrala SK. Scalable Techniques for the Analysis of Large-scale Materials Data. [Internet] [Thesis]. Iowa State University; 2013. [cited 2019 Mar 23]. Available from: https://lib.dr.iastate.edu/etd/13230.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Samudrala SK. Scalable Techniques for the Analysis of Large-scale Materials Data. [Thesis]. Iowa State University; 2013. Available from: https://lib.dr.iastate.edu/etd/13230

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

12. Cecen, Ahmet. Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data.

Degree: PhD, Computational Science and Engineering, 2017, Georgia Tech

 The direct influence of spatial and structural arrangement in various length scales to the performance characteristics of materials is a core premise of materials science.… (more)

Subjects/Keywords: Materials; Informatics; Data science; Image processing; Spatial statistics; Texture synthesis; Microstructure generator

…structural arrangement in various length scales to the performance characteristics of materials is… …a core premise of materials science. Spatial correlations in the form of n-point… …plethora of materials systems, with a high number of cases where the obtained futures were… …utilization of spatial statistics under practical considerations to the materials researcher… …Most materials of interest to modern technology display internal architectures of various… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cecen, A. (2017). Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58723

Chicago Manual of Style (16th Edition):

Cecen, Ahmet. “Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 23, 2019. http://hdl.handle.net/1853/58723.

MLA Handbook (7th Edition):

Cecen, Ahmet. “Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data.” 2017. Web. 23 Mar 2019.

Vancouver:

Cecen A. Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1853/58723.

Council of Science Editors:

Cecen A. Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58723


Georgia Tech

13. Paulson, Noah H. Structure-property linkages for polycrystalline materials using materials knowledge systems.

Degree: PhD, Mechanical Engineering, 2017, Georgia Tech

 Computational tools that are capable of rapidly exploring candidate microstructures and their associated properties are required to accelerate the rate of development and deployment of… (more)

Subjects/Keywords: Microstructure; Structure-property relationship; Polycrystalline; Titanium alloys; High cycle fatigue; Transition fatigue; Yield strength; Elastic modulus; Data science; Materials informatics; High-throughput; 2-point correlations; Computational model; Crystal plasticity; Reduced-order model; Extreme value statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Paulson, N. H. (2017). Structure-property linkages for polycrystalline materials using materials knowledge systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60113

Chicago Manual of Style (16th Edition):

Paulson, Noah H. “Structure-property linkages for polycrystalline materials using materials knowledge systems.” 2017. Doctoral Dissertation, Georgia Tech. Accessed March 23, 2019. http://hdl.handle.net/1853/60113.

MLA Handbook (7th Edition):

Paulson, Noah H. “Structure-property linkages for polycrystalline materials using materials knowledge systems.” 2017. Web. 23 Mar 2019.

Vancouver:

Paulson NH. Structure-property linkages for polycrystalline materials using materials knowledge systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Mar 23]. Available from: http://hdl.handle.net/1853/60113.

Council of Science Editors:

Paulson NH. Structure-property linkages for polycrystalline materials using materials knowledge systems. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60113

14. Zhao, Pei. E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics.

Degree: MSs, EECS - Computer and Information Sciences, 2016, Case Western Reserve University

 Solar energy is becoming a more important energy source. With the photovoltaic industry experiencing its unprecedented growth in the past decade, the study of PV… (more)

Subjects/Keywords: Systems Design; Technology; Materials Science; distributed system, informatics, photovoltaic, hadoop, hbase

…x Abstract E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics… …Introduction 1.1 What is photovoltaic informatics? Solar energy is becoming a more important energy… …better product. Photovoltaic (PV) informatics uses data mining to extract hidden… …PV informatics, and it is called Energy- Common Research Analytics and Data Lifecycle… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhao, P. (2016). E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689

Chicago Manual of Style (16th Edition):

Zhao, Pei. “E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics.” 2016. Masters Thesis, Case Western Reserve University. Accessed March 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689.

MLA Handbook (7th Edition):

Zhao, Pei. “E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics.” 2016. Web. 23 Mar 2019.

Vancouver:

Zhao P. E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics. [Internet] [Masters thesis]. Case Western Reserve University; 2016. [cited 2019 Mar 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689.

Council of Science Editors:

Zhao P. E-CRADLE v1.1 - An improved distributed system for Photovoltaic Informatics. [Masters Thesis]. Case Western Reserve University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1449001689


University of Queensland

15. Cheung, Kwok Wai Steny. Developing Materials Informatics Workbench for Expediting the Discovery of Novel Compound Materials.

Degree: The Australian Institute for Bioengineering and Nanotechnology, 2009, University of Queensland

Subjects/Keywords: Semantic web; Web services; Wsbpel; Materials informatics; Oai-ore; Ontology; Owl; Swrl; Data-driven approach; Provenance; 10 Technology

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cheung, K. W. S. (2009). Developing Materials Informatics Workbench for Expediting the Discovery of Novel Compound Materials. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:197643

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Cheung, Kwok Wai Steny. “Developing Materials Informatics Workbench for Expediting the Discovery of Novel Compound Materials.” 2009. Thesis, University of Queensland. Accessed March 23, 2019. http://espace.library.uq.edu.au/view/UQ:197643.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Cheung, Kwok Wai Steny. “Developing Materials Informatics Workbench for Expediting the Discovery of Novel Compound Materials.” 2009. Web. 23 Mar 2019.

Vancouver:

Cheung KWS. Developing Materials Informatics Workbench for Expediting the Discovery of Novel Compound Materials. [Internet] [Thesis]. University of Queensland; 2009. [cited 2019 Mar 23]. Available from: http://espace.library.uq.edu.au/view/UQ:197643.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheung KWS. Developing Materials Informatics Workbench for Expediting the Discovery of Novel Compound Materials. [Thesis]. University of Queensland; 2009. Available from: http://espace.library.uq.edu.au/view/UQ:197643

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.