Advances in Computational Methods for Statistical Physics and Their Applications II

FOCUS · F21

Presentations

  • Data-Free Deep Neural Networks for Solving Partial Differential Equations in Nanobiophysics

    ORAL

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    Presenters

    • Martin Magill

      University of Ontario Institute of Technology

    Authors

    • Martin Magill

      University of Ontario Institute of Technology

    • Andrew Nagel

      University of Ontario Institute of Technology

    • Hendrick W de Haan

      University of Ontario Institute of Technology, Science, University of Ontario Institute of Technology, Modelling and Computattional Science, University of Ontario Institute of Technology

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  • Machine Learning Surrogate Models to Accelerate Monte-Carlo Calculation

    ORAL

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    Presenters

    • Markus Eisenbach

      National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory, Oak Ridge Natioinal Laboratory

    Authors

    • Markus Eisenbach

      National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory, Oak Ridge Natioinal Laboratory

    • Jiaxin Zhang

      Oak Ridge National Laboratory

    • Zongrui Pei

      Oak Ridge National Laboratory

    • Massimiliano Lupo Pasini

      Oak Ridge National Laboratory

    • Ying Wai Li

      National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory

    • Junqi Yin

      Oak Ridge National Laboratory

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  • Reinforcement Learning and the Scientific Method

    ORAL

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    Presenters

    • Isaac Tamblyn

      University of Ontario Institute of Technology, University of Ottawa, and National Research Council of Canada, University of Ontario Institute of Technology, National Research Council of Canada, National Research Council of Canada

    Authors

    • Rory Coles

      University of Ontario, Institute of Technology, University of Ontario Institute of Technology

    • Isaac Tamblyn

      University of Ontario Institute of Technology, University of Ottawa, and National Research Council of Canada, University of Ontario Institute of Technology, National Research Council of Canada, National Research Council of Canada

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  • Statistical Precision Annealing Method for Deep Learning

    ORAL

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    Presenters

    • Zheng Fang

      Department of Physics, University of California, San Diego

    Authors

    • Zheng Fang

      Department of Physics, University of California, San Diego

    • Henry D. I. Abarbanel

      University of California, San Diego, Department of Physics, University of California, San Diego

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  • Relaxation Augmented Free Energy Perturbation

    ORAL

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    Presenters

    • Ying-Chih Chiang

      University of Southampton

    Authors

    • Ying-Chih Chiang

      University of Southampton

    • Christopher Cave-Ayland

      University of Southampton

    • Marley Samways

      University of Southampton

    • Frank Otto

      Department of Chemistry, University College London

    • Jonathan Essex

      University of Southampton

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  • Directed random walks and global updates for improved convergence in multicanonical Monte Carlo algorithms

    ORAL

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    Presenters

    • Ying Wai Li

      National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory

    Authors

    • Ying Wai Li

      National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory

    • Alfred Farris

      Center for Simulational Physics, University of Georgia, University of Georgia

    • Markus Eisenbach

      National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory, National Center of Computational Sciences, Oak Ridge National Laboratory, Oak Ridge Natioinal Laboratory

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  • Selecting initial distributions of states for efficient Monte Carlo sampling

    ORAL

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    Presenters

    • Thomas E Baker

      Département de physique & Insitut quantique, Université de Sherbrooke, Département de physique, Université de Sherbrooke, Institut quantique

    Authors

    • Thomas E Baker

      Département de physique & Insitut quantique, Université de Sherbrooke, Département de physique, Université de Sherbrooke, Institut quantique

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