Focus Session: Machine Learning For Materials Discovery
FOCUS · D16 ·
Presentations
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Machine Learning methods in fitting first-principles total energies for substitutionally disordered solid
ORAL
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Authors
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Qin Gao
- Carnegie Mellon University
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Sanxi Yao
- Carnegie Mellon University
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Michael Widom
- Carnegie Mellon University
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Phase Transitions of Boron Carbide: Pair Interaction Model of High Carbon Limit
ORAL
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Authors
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Sanxi Yao
- Carnegie Mellon University
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Michael Widom
- Carnegie Mellon University
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William Huhn
- Duke University
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Qin Gao
- Carnegie Mellon University
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Unsupervised machine learning on atomistic configurations: examples on amorphous defects and energy landscapes
ORAL
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Authors
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Ekin Cubuk
- Harvard University
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Samuel Schoenholz
- University of Pennsylvania
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Andrea Liu
- University of Pennsylvania
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Efthimios Kaxiras
- Department of Physics and School of Engineering and Applied Sciences, Harvard University
- Harvard University
- Harvard University Department of Physics and School of Engineering and Applied Sciences
- Dept. of Physics, Harvard University
- Department of Physics, Harvard University
- Physics Department, Harvard University
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Machine Learning Methods for the Sampling of Chemical Space From First Principles
COFFEE_KLATCH · Invited
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Authors
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Raghu Ramakrishnan
- University of Basel
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Informatics guided Search for Magnetic Apatites
ORAL
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Authors
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Prasanna V. Balachandran
- Los Alamos National Laboratory
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Turab Lookman
- Los Alamos National Laboratory
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Using Data Mining Algorithms in Solid State Physics
ORAL
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Authors
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Troy Lyons
- Central Michigan University
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Nicholas Mecholsky
- VSL/Catholic University of America
- The Catholic University of America
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Stefano Curtarolo
- Duke University
- Duke University, Durham NC
- Materials Science, Electrical Engineering, Physics, and Chemistry, Duke University, Durham, North Carolina 27708, USA
- Duke University, MEMS Department
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Marco Buongiorno Nardelli
- University of North Texas
- Univ of North Texas
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Marco Fornari
- Central Michigan University
- Department of Physics and Science of Advanced Materials Program, Central Michigan University
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Interplay of Atomic and Electronic Structure in Second Harmonic Generating Nonlinear Optical Materials
ORAL
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Authors
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Antonio Cammarata
- Czech Technical University in Prague
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James Rondinelli
- Northwestern University
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Materials Cartography: Representing and Mining Material Space Using Structural and Electronic Fingerprints
ORAL
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Authors
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Corey Oses
- Duke Univ
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Olexandr Isayev
- UNC Chapel Hill
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Denis Fourches
- UNC Chapel Hill
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Eugene Muratov
- UNC Chapel Hill
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Kevin Rasch
- Duke Univ
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Alexander Tropsha
- UNC Chapel Hill
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Stefano Curtarolo
- Duke University
- Duke Univ
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Big Data of Materials Science -- Critical Role of the Descriptor
ORAL
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Authors
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Luca M. Ghiringhelli
- Fritz-Haber-Institut der MPG, Berlin, DE
- Fritz-Haber-Institut der MPG, Berlin
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Jan Vybiral
- Charles University, Prague, CZ
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Sergey V. Levchenko
- Fritz-Haber-Institut der MPG, Berlin, DE
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Claudia Draxl
- Humboldt-Universit\"{a}t zu Berlin, DE
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Matthias Scheffler
- Fritz-Haber-Institut der MPG, Berlin, DE
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Structure classification of AB solids via machine learning
ORAL
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Authors
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J.E. Guberntis
- Los Alamos National Laboratory
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G. Pilania
- Los Alamos National Laboratory
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T. Lookman
- Los Alamos National Lab.
- Los Alamos National Laboratory
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Study on Electro-polymerization Nano-micro Wiring System Imitating Axonal Growth of Artificial Neurons towards Machine Learning
ORAL
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Authors
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Nguyen Tuan Dang
- Osaka University
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Megumi Akai-kasada
- Osaka University
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Tetsuya Asai
- Hokkaido University
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Akira Saito
- Osaka University
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Yuji Kuwahara
- Osaka University
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Force field development from first principles for materials design
ORAL
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Authors
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Maria Chan
- Argonne National Laboratory
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Alper Kinaci
- Argonne National Laboratory
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Badri Narayanan
- Argonne National Laboratory
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Fatih Sen
- Argonne National Laboratory
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Stephen Gray
- Argonne Natl Lab
- Argonne National Laboratory
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Michael Davis
- Argonne National Laboratory
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Subramanian Sankaranaryanan
- Argonne National Laboratory
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