Computational Methods for Statistical Mechanics: Advances and Applications II
FOCUS · T62 · ID: 1101012
Presentations
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Overview of message passing algorithms and their use in statistical physics
ORAL · Invited
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Presenters
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Lenka Zdeborová
Ecole Polytechnique Federale de Lausanne, EPFL Switzerland
Authors
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Lenka Zdeborová
Ecole Polytechnique Federale de Lausanne, EPFL Switzerland
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Material properties prediction using machine learning-based ab initio calculations
ORAL
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Presenters
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Mariia Karabin
Oak Ridge National Lab, Oak Ridge National Laboratory
Authors
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Mariia Karabin
Oak Ridge National Lab, Oak Ridge National Laboratory
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Markus Eisenbach
Oak Ridge National Laboratory
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Massimiliano Lupo Pasini
Oak Ridge National Laboratory
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Junqi Yin
Oak Ridge National Laboratory
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Sunny, an open source code for simulating generalized spin dynamics
ORAL
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Publication: [1] https://github.com/SunnySuite/Sunny.jl/<br>[2] David Dahlbom, Cole Miles, Hao Zhang, Cristian D. Batista, Kipton Barros. "Langevin dynamics of generalized spins as SU(N) coherent states," arXiv:2209.01265. (Submitted to Phys. Rev. B.)
Presenters
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Kipton M Barros
Los Alamos Natl Lab, Theoretical Division and CNLS, Los Alamos National Laboratory
Authors
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Kipton M Barros
Los Alamos Natl Lab, Theoretical Division and CNLS, Los Alamos National Laboratory
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David A Dahlbom
University of Tennessee, University of Tennessee, Knoxville
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Cole M Miles
Cornell University
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Hao Zhang
University of Tennessee
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Sakib Matin
Boston University, Los Alamos National Laboratory
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Matthew S Wilson
Los Alamos National Laboratory
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Ying-Wai Li
Los Alamos National Laboratory
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Xiaojian Bai
Oak Ridge National Lab
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Martin P Mourigal
Georgia Tech
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Cristian Batista
University of Tennessee, University of Tennessee, Knoxville
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Robust Statistical Mechanics with Fast Particle Toolkit
ORAL
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Publication: Robust Statistical Mechanics with Fast Particle Toolkit (planned), FPT (software package, preprint)
Presenters
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David M Rogers
Oak Ridge National Lab
Authors
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David M Rogers
Oak Ridge National Lab
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The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources
ORAL · Invited
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Presenters
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Aidan P Thompson
Sandia National Laboratories
Authors
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Aidan P Thompson
Sandia National Laboratories
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Supervised and Unsupervised Machine Learning of Structural Phases of Polymers Adsorbed to Nanowires
ORAL
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Publication: Supervised and unsupervised machine learning of structural phases of polymers adsorbed to nanowires<br>Quinn Parker, Dilina Perera, Ying Wai Li, and Thomas Vogel<br>Phys. Rev. E 105, 035304 – Published 24 March 2022<br>https://doi.org/10.1103/PhysRevE.105.035304
Presenters
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Thomas Vogel
University of North Georgia
Authors
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Thomas Vogel
University of North Georgia
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Quinn Parker
Georgia Institute of Technology
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Dilina Perera
University of North Georgia
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Ying-Wai Li
Los Alamos National Laboratory
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Ab Initio Generalized Langevin Equations
ORAL
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Publication: [1] Xie, P., Car, R. & E, W. Ab Initio Generalized Langevin Equations. Manuscript in Preparation<br>[2] Xie, P., Chen, Y., E, W. & Car, R. (2022). Ab initio multi-scale modeling of ferroelectrics: The case of PbTiO3. arXiv preprint arXiv:2205.11839.
Presenters
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Pinchen Xie
Princeton University
Authors
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Pinchen Xie
Princeton University
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Roberto Car
Princeton University
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Weinan E
Peking University, AI for Science Institute, Beijing, China
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