Computational Materials Design and Discovery -- Potential Models and Molecular Dynamics
ORAL · X19
Presentations
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Deep neural networks to accelerate and reproduce DFT
ORAL
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Presenters
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Linda Hung
Toyota Research Institute
Authors
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Linda Hung
Toyota Research Institute
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Brian Rohr
Chemical Engineering, Stanford University
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Kristopher S Brown
Chemical Engineering, Stanford University
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Michael Statt
Chemical Engineering, Stanford University
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Patrick Herring
Toyota Research Institute
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Arjun Bhargava
Toyota Research Institute
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Ha-Kyung Kwon
Toyota Research Institute
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Santosh Suram
Toyota Research Institute
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Muratahan Aykol
Toyota Research Institute
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Jens Hummelshøj
Toyota Research Institute
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MAISE package: Materials prediction accelerated with neural network potentials
ORAL
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Presenters
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Aleksey Kolmogorov
Binghamton University, Department of Physics, Applied Physics and Astronomy, Binghamton University, Physics, Applied Physics and Astronomy, Binghamton University
Authors
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Aleksey Kolmogorov
Binghamton University, Department of Physics, Applied Physics and Astronomy, Binghamton University, Physics, Applied Physics and Astronomy, Binghamton University
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Samad Hajinazar
Binghamton University, Physics, Applied Physics and Astronomy, Binghamton University
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Ernesto D. Sandoval
Binghamton University, Physics, Applied Physics and Astronomy, Binghamton University
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Accelerating superalloy discovery using moment tensor potentials
ORAL
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Presenters
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Hayden Oliver
Brigham Young University
Authors
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Hayden Oliver
Brigham Young University
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Brayden Bekker
Brigham Young University
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Chandramouli Nyshadham
Brigham Young University
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Carlos Alberto Leon Chinchay
Brigham Young University
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Gus Hart
Brigham Young University, Physics and Astronomy, Brigham Young University
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Using machine learning interatomic potentials for finding CoNiTi ternaries
ORAL
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Presenters
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Carlos Alberto Leon Chinchay
Brigham Young University
Authors
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Carlos Alberto Leon Chinchay
Brigham Young University
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Wiley S Morgan
Brigham Young University
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Gus Hart
Brigham Young University, Physics and Astronomy, Brigham Young University
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Exploring Materials Space with Machine Learning
ORAL
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Presenters
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Brayden Bekker
Brigham Young University
Authors
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Brayden Bekker
Brigham Young University
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Hayden Oliver
Brigham Young University
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Chandramouli Nyshadham
Brigham Young University
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Alexander Shapeev
Skolkovo Institute of Science and Technology
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Gus Hart
Brigham Young University, Physics and Astronomy, Brigham Young University
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Combined cluster and atomic displacement expansion for solid solutions and magnetism
ORAL
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Presenters
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Kevin Garrity
National Institute of Standards and Technology, MML, National institute of standards and technology, MD, USA, Materials Measurment Laboratory, National Institute of Standards and Technology
Authors
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Kevin Garrity
National Institute of Standards and Technology, MML, National institute of standards and technology, MD, USA, Materials Measurment Laboratory, National Institute of Standards and Technology
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High-order rotational invariants for structural representations: Application to linearized machine learning interatomic potential
ORAL
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Presenters
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Atsuto Seko
Kyoto University
Authors
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Atsuto Seko
Kyoto University
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Atsushi Togo
Kyoto University
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Isao Tanaka
Kyoto University, Department of Materials Science and Engineering, Kyoto University, Materials Science and Engineering, Kyoto university
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The second-principles MULTIBINIT software project
ORAL
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Presenters
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Fabio Ricci
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium, University of Liege
Authors
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Fabio Ricci
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium, University of Liege
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Alexandre Martin
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium
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Marcus Schmitt
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium
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Jordan Bieder
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium
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Xu He
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium
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Eric Bousquet
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium
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Matthieu J. Verstraete
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium
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Philippe Ghosez
Theoretical Materials Physics, Q-MAT, CESAM, Université de Liège, Belgium, Université de Liège
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Structural Deformations in Graphene under Laser Ablation
ORAL
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Presenters
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Mohammad Alaghemandi
Boston University
Authors
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Mohammad Alaghemandi
Boston University
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Michelle Y. Sander
Boston University
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Sahar Sharifzadeh
Boston University, Department of Electrical and Computer Engineering, Boston University
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Atomistic investigation of a carbonization process for C/H/O/N-based polymers with use of the reactive potentials: ReaxFF
ORAL
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Presenters
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Malgorzata Kowalik
Mechanical Engineering, PSU
Authors
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Malgorzata Kowalik
Mechanical Engineering, PSU
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Chowdhury M. Ashraf
Mechanical Engineering, PSU
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Adri C. T. van Duin
Mechanical Engineering, PSU
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Molecular Dynamics Investigations of the Mechanical Properties of Heterogeneous Structures Composed of Graphene Sheets, Graphene Ribbons, and Boron Nitride Sheets
ORAL
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Presenters
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Cuiying Jian
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology
Authors
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Cuiying Jian
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology
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Nicola Ferralis
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology
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Jeffrey C Grossman
Department of Materials Science and Engineering, Massachusetts Institute of Technology, Massachusetts Institute of Technology, Materials Science and Engineering, Massachusetts Institute of Technology
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Toward Sustainable Asphaltic Materials: A Molecular Dynamics (MD) Investigation of Bio-oil Modified Asphalt
ORAL
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Presenters
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Iskinder Arsano
The University of Akron, University of Akron
Authors
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Iskinder Arsano
The University of Akron, University of Akron
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Kshitij C Jha
The University of Akron
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Mesfin Tsige
The University of Akron, University of Akron
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Computational design of organic molecules for reducing friction at the nanoscale
ORAL
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Presenters
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Jing Yang
Chemical Engineering, Massachusetts Institute of Technology
Authors
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Jing Yang
Chemical Engineering, Massachusetts Institute of Technology
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Jon Paul Janet
Chemical Engineering, Massachusetts Institute of Technology
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Fang Liu
Chemical Engineering, Massachusetts Institute of Technology
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Heather J Kulik
Chemical Engineering, Massachusetts Institute of Technology
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Machine-Learning Provides New Insights into the Coil-to-Globule Transitions of Thermosensitive Polymers
ORAL
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Presenters
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Sanket Deshmukh
Chemical Engineering, Virginia Tech
Authors
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Karteek Kumar Bejagam
Chemical Engineering, Virginia Tech
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Yaxin An
Chemical Engineering, Virginia Tech
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Samrendra Singh
CNH Industrial
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Sanket Deshmukh
Chemical Engineering, Virginia Tech
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Bayesian inference of grain growth prediction via multi-phase-field models
ORAL
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Presenters
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Hiromichi Nagao
University of Tokyo
Authors
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Hiromichi Nagao
University of Tokyo
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Shin-ichi Ito
University of Tokyo, The University of Tokyo
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Takashi Kurokawa
University of Tokyo
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Tadashi Kasuya
University of Tokyo
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Junya Inoue
University of Tokyo
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