Computational design and discovery of novel materials VII: Machine learning and high throughput computing
ORAL · X43 · ID: 352875
Presentations
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Density Functional Theory Calculations on Surface Oxygen Vacancy Formation in Metal Oxides
ORAL
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Presenters
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Yoyo Hinuma
- Chiba Univ
Authors
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Yoyo Hinuma
- Chiba Univ
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Takashi Toyao
- Hokkaido University
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Takashi Kamachi
- Fukuoka Institute of Technology
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Zen Maeno
- Hokkaido University
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Satoru Takakusagi
- Hokkaido University
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Shinya Furukawa
- Hokkaido University
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Ichigaku Takigawa
- RIKEN
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Ken-ichi Shimizu
- Hokkaido University
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Genarris 2.0: A Random Structure Generator for Molecular Crystals
ORAL
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Presenters
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Rithwik Tom
- Carnegie Mellon University
Authors
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Rithwik Tom
- Carnegie Mellon University
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Tim C Rose
- Carnegie Mellon University
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Imanuel Bier
- Carnegie Mellon University
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Harriet O'Brien
- Carnegie Mellon University
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Alvaro Vazquez-Mayagoitia
- Argonne Leadership Computing Facility, Argonne National Laboratory
- Argonne National Lab
- Computational Science Division, Argonne National Laboratory
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Noa Marom
- Carnegie Mellon University
- Carnegie Mellon Univ
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Exploring the quantum chemical space of small molecules: QM7-X database
ORAL
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Presenters
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Alvaro Vazquez-Mayagoitia
- Argonne Leadership Computing Facility, Argonne National Laboratory
- Argonne National Lab
- Computational Science Division, Argonne National Laboratory
Authors
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Johannes Hoja
- Physics and Materials Science Reasearch Unit, University of Luxembourg
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Leonardo Medrano Sandonas
- Physics and Materials Science Reasearch Unit, University of Luxembourg
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Brian Ernst
- Department of Chemistry and Chemical Biology, Cornell University
- Cornell University
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Alvaro Vazquez-Mayagoitia
- Argonne Leadership Computing Facility, Argonne National Laboratory
- Argonne National Lab
- Computational Science Division, Argonne National Laboratory
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Robert Distasio
- Department of Chemistry and Chemical Biology, Cornell University
- Cornell University
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Alexandre Tkatchenko
- Physics and Materials Science Reasearch Unit, University of Luxembourg
- Physics and Materials Science Research Unit, University of Luxembourg
- University of Luxembourg
- University of Luxembourg Limpertsberg
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Matching Crystal Structures Atom-to-Atom: Applications to Phase Transitions and Interface Structures
ORAL
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Presenters
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Felix Therrien
- Colorado School of Mines
Authors
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Felix Therrien
- Colorado School of Mines
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Peter Graf
- National Renewable Energy Laboratory
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Vladan Stevanovic
- Colorado School of Mines
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Predicting <i>h-</i>BCN Geometric Structures Using Clustering and Regression Methods
ORAL
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Presenters
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Sonali Joshi
- Univ of Central Florida
Authors
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Sonali Joshi
- Univ of Central Florida
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Dave Austin
- Univ of Central Florida
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Duy Le
- Univ of Central Florida
- Univeristy of Central Florida
- Department of Physics, University of Central Florida
- University of Central Florida
- Physics and Renewable Energy and Chemical Transformations Cluster, University of Central Florida
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Talat S. Rahman
- Univ of Central Florida
- Univeristy of Central Florida
- Department of Physics, University of Central Florida, Orlando, FL 32816
- Department of Physics, University of Central Florida
- Physics, Univ of Central Florida
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Towards a Crystalline Organic Superconductor Database
ORAL
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Presenters
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Owen Ganter
- Clark University
Authors
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Owen Ganter
- Clark University
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Charles C Agosta
- Clark University
- Physics, Clark University
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Accelerated enumeration of derivative structures using zero-suppressed binary decision diagram
ORAL
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Presenters
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Kohei Shinohara
- Kyoto Univ
Authors
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Kohei Shinohara
- Kyoto Univ
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Atsuto Seko
- Kyoto Univ
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Takashi Horiyama
- Hokkaido Univ
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Masakazu Ishihata
- NTT Communication Science Laboratories
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Junya Honda
- The Univ of Tokyo
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Isao Tanaka
- Kyoto Univ
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Multifidelity Learning and Statistical Analysis of Material Properties
ORAL
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Presenters
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Abhijith Gopakumar
- Northwestern University
Authors
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Abhijith Gopakumar
- Northwestern University
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Mohan Liu
- Northwestern University
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Ramamurthy Ramprasad
- Georgia Institute of Technology
- School of Materials Science and Engineering, Georgia Institute of Technology
- Department of Material Science and Technology, Georgia Tech
- Materials Science and Engineering, Georgia Institute of Technology
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Christopher Mark Wolverton
- Northwestern University
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Symbolic Regression in Materials Science
ORAL
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Presenters
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Yiqun Wang
- Northwestern University
Authors
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Yiqun Wang
- Northwestern University
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James Rondinelli
- Northwestern University
- Department of Materials Science and Engineering, Northwestern University
- Materials Science and Engineering, Northwestern University
- Deparment of Materials Science and Engineering, Northwestern University
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DFT-45B---a fertile soil (data) for your seeds (machine learning algorithms)
ORAL
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Presenters
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Chandramouli Nyshadham
- Kebotix, Inc., Cambridge, MA 02139, USA.
- Brigham Young Univ - Provo
Authors
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Chandramouli Nyshadham
- Kebotix, Inc., Cambridge, MA 02139, USA.
- Brigham Young Univ - Provo
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Christoph Kreisbeck
- Kebotix, Inc., Cambridge, MA 02139, USA.
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Gus Hart
- Brigham Young Univ - Provo
- Physics and Astronomy, Brigham Young University
- Department of Physics and Astronomy, Brigham Young University
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Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible
ORAL
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Presenters
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Miguel Bessa
- Delft University of Technology
Authors
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Miguel Bessa
- Delft University of Technology
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Piotr Glowacki
- Delft University of Technology
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Michael Houlder
- Delft University of Technology
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A roadmap for machine learning in alloy modeling
ORAL
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Presenters
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Gus Hart
- Brigham Young Univ - Provo
- Physics and Astronomy, Brigham Young University
- Department of Physics and Astronomy, Brigham Young University
Authors
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Gus Hart
- Brigham Young Univ - Provo
- Physics and Astronomy, Brigham Young University
- Department of Physics and Astronomy, Brigham Young University
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Tim Mueller
- John Hopkins University
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Cormac Toher
- Duke University
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Stefano Curtarolo
- Duke University
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Leveraging machine learning to determine nanoscale structures from theory and experiments
ORAL
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Presenters
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Maria Chan
- Argonne Natl Lab
- Center for Nanoscale Materials, Argonne National Laboratory
Authors
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Venkata Surya Chaitanya Kolluru
- Argonne Natl Lab
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Spencer Hills
- Argonne Natl Lab
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Eric Schwenker
- Argonne Natl Lab
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Nobuya Watanabe
- Argonne Natl Lab
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Fatih G Sen
- Argonne Natl Lab
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Arun Kumar Mannodi Kanakkithodi
- Argonne Natl Lab
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Michael Sternberg
- Argonne Natl Lab
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Maria Chan
- Argonne Natl Lab
- Center for Nanoscale Materials, Argonne National Laboratory
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Machine learning for novel and improved inorganic scintillators
ORAL
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Presenters
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Anjana Talapatra
- Los Alamos National Laboratory
Authors
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Anjana Talapatra
- Los Alamos National Laboratory
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Christopher Stanek
- Los Alamos National Laboratory
- Materials Science and Technology Division, Los Alamos National Lab
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Blas Pedro Uberuaga
- Los Alamos National Laboratory
- Materials Science and Technology Division, Los Alamos National Lab
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Ghanshyam Pilania
- Los Alamos National Laboratory
- Materials Science and Technology Division, Los Alamos National Lab
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Exploring Information Density in Crystalline and Amorphous Configurations using Deep Neural Networks
ORAL
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Presenters
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Shyam Dwaraknath
- Lawrence Berkeley National Laboratory
- Energy Technologies Area, Lawrence Berkeley National Laboratory
Authors
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Shyam Dwaraknath
- Lawrence Berkeley National Laboratory
- Energy Technologies Area, Lawrence Berkeley National Laboratory
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Wissam A Saidi
- Mechanical Engineering & Materials Science, University of Pittsburg
- Univ of Pittsburgh
- Department of Materials Science and Engineering, University of Pittsburgh
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