Predicting and Classifying Materials via High-Throughput Databases and Machine Learning II
ORAL · K22 ·
Presentations
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An Automated Application Framework to Model Disordered Materials Based on a High Throughput First Principles Approach
ORAL
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Authors
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Corey Oses
- Duke Univ
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Kesong Yang
- UC San Diego
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Stefano Curtarolo
- Materials Science, Electrical Engineering, Physics and Chemistry, Duke University
- Duke University
- Duke University, Durham, NC
- Duke Univ
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An Extensive Database of Electronic Structure Calculations between Transition Metals
ORAL
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Authors
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Shereef Sayed
- George Mason Univ
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Dimitrios Papaconstantopoulos
- George Mason Univ
- George Mason University
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High throughput ab-intio modeling of proton transport in solid electrolytes
ORAL
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Authors
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Janakiraman Balachandran
- Oak Ridge National Labaratory
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Lianshan Lin
- Oak Ridge National Labaratory
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Panchapakesan Ganesh
- Oak Ridge National Labaratory
- Center for Nanophase Materials Sciences, ORNL
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From organized high throughput data to phenomenological theory: The example of dielectric breakdown
ORAL
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Authors
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Chiho Kim
- University of Connecticut
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Ghanshyam Pilania
- Los Alamos National Laboratory
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Rampi Ramprasad
- University of Connecticut
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The Robustness of Cluster Expansion: Assessing the Role of Relaxation
ORAL
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Authors
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Andrew H. Nguyen
- Brigham Young Univ - Provo
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Conrad W. Rosenbrock
- Brigham Young Univ - Provo
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Gus L. W. Hart
- Brigham Young Univ - Provo
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The New NRL Crystallographic Database
ORAL
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Authors
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Michael Mehl
- Naval Research Laboratory, Washington DC 20375
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Stefano Curtarolo
- Materials Science, Electrical Engineering, Physics and Chemistry, Duke University
- Duke University
- Duke University, Durham, NC
- Duke Univ
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David Hicks
- Duke Univ
- Duke University, Durham, NC
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Cormac Toher
- Duke University, Durham, NC
- Duke Univ
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Ohad Levy
- Duke University, Durham, NC and NRCN, Israel
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Gus Hart
- Brigham Young University
- Brigham Young University, Provo, Utah
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First-principles determination of low-energy structures in epitaxially-strained perovskite SrMnO$_{3}$
ORAL
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Authors
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Jialan Zhang
- Rutgers, The State University of New Jersey
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Karin Rabe
- Rutgers, The State University of New Jersey
- Rutgers University
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Finding new ternary transition metal selenides and sulphides
ORAL
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Authors
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Awadhesh Narayan
- Univ of Illinois - Urbana
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Ankita Bhutani
- Univ of Illinois - Urbana
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James N. Eckstein
- Univ of Illinois - Urbana
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Daniel P. Shoemaker
- Univ of Illinois - Urbana
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Lucas K. Wagner
- Univ of Illinois - Urbana
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High-Throughput Identification of Unique Structure Prototypes in the Inorganic Crystal Structure Database
ORAL
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Authors
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David Hicks
- Duke Univ
- Duke University, Durham, NC
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Cormac Toher
- Duke Univ
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Ohad Levy
- Duke Univ
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Stefano Curtarolo
- Duke Univ
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Prediction of the first stable compound with flat hexagonal tin layers
ORAL
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Authors
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Junping Shao
- Binghamton University, SUNY
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Clement Beaufils
- Binghamton University, SUNY
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Aleksey Kolmogorov
- Binghamton University, SUNY
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Can k-point integration for metals be dramatically improved?
ORAL
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Authors
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Gus Hart
- Brigham Young University
- Brigham Young University, Provo, Utah
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Jeremy Jorgensen
- Brigham Young University
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Priya Gopal
- Central Michigan University
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Marco Buongiorno-Nardelli
- University of North Texas
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The Quantum Monte Carlo Database: towards high-accuracy and high-throughput calculation of material properties~
ORAL
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Authors
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Joshua Schiller
- University of Illinois at Urbana-Champaign
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Raymond Plante
- National Institute of Standards and Technology
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Lucas Wagner
- University of Illinois at Urbana Champaign
- University of Illinois at Urbana-Champaign
- Univ of Illinois - Urbana
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Elif Ertekin
- University of Illinois at Urbana-Champaign
- Univ of Illinois - Urbana
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\textbf{Predictive modeling of surface morphology of multicomponent catalysts for their optimum performance}
ORAL
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Authors
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Altaf Karim
- COMSATS Institute of Information Technology, Islamabad, Pakistan
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Syed Islamuddin Shah
- COMSATS Institute of Information Technology, Islamabad, Pakistan
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\textbf{Doping Li and K into Na}$_{\mathrm{\mathbf{2}}}$\textbf{ZrO}$_{\mathrm{\mathbf{3}}}$\textbf{ Sorbent to Improve Its CO}$_{\mathrm{\mathbf{2}}}$\textbf{ Capture Capability}
ORAL
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Authors
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Yuhua Duan
- DOE-National Energy Technology Laboratory, Pittsburgh, PA 15236
- DOE-National Energy Technology Laboratory
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