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Data Science, Artificial Intelligence and Machine Learning I

FOCUS · D32 · ID: 48668

Presentations

  • Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning Using Large Deviation Theory

    ORAL

    –

    Publication: Arriojas, A.; Tiomkin, S.; and Kulkarni, R. V. 2021. Closed-Form Analytical Results for Maximum Entropy Reinforcement Learning. arXiv preprint arXiv:2106.03931<br>Submitted to AAAI conference on Artificial Intelligence

    Presenters

    • Argenis Arriojas Maldonado

      University of Massachusetts Boston

    Authors

    • Argenis Arriojas Maldonado

      University of Massachusetts Boston

    • Jacob Adamczyk

      University of Massachusetts Boston

    • Stas Tiomkin

      San Jose State University

    • Rahul V Kulkarni

      University of Massachusetts Boston

    View abstract →

  • Causality Analysis of Physical Parameters Derived from Atomic-Resolution STEM

    ORAL

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    Publication: Ziatdinov, M., et al. Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution scanning transmission electron microscopy data. Comput Mater 6:127, 2020<br>Nelson, C., et al. Mapping causal patterns in crystalline solids. under review.

    Presenters

    • Christopher T Nelson

      Oak Ridge National Lab

    Authors

    • Christopher T Nelson

      Oak Ridge National Lab

    • Maxim Ziatdinov

      Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge National Laboratory, Oak Ridge National Lab

    • Xiaohang Zhang

      Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742, USA, Nova Research, University of Maryland

    • Rama K Vasudevan

      Oak Ridge National Lab

    • Eugene A. Eliseev

      Institute for Problems of Materials Science, National Academy of Sciences of Ukraine, National Academy of Science of Ukraine

    • Anna N. Morozovska

      Institute of Physics, National Academy of Sciences of Ukraine, National Academy of Science of Ukraine

    • Ichiro Takeuchi

      University of Maryland, College Park, Department of Materials Science and Engineering, University of Maryland, College Park, MD 20742, USA

    • Sergei V Kalinin

      Oak Ridge National Lab, Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge National Laboratory

    View abstract →

  • signac: Simple Data and Workflow Management

    ORAL

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    Publication: signac: Data Management and Workflows for Computational Researchers (doi.org/10.25080/majora-1b6fd038-003)

    Presenters

    • Corwin B Kerr

      University of Michigan

    Authors

    • Corwin B Kerr

      University of Michigan

    • Brandon L Butler

      University of Michigan

    • Bradley D Dice

      University of Michigan

    • Sharon C Glotzer

      University of Michigan

    View abstract →

  • Predicting polarizabilities of silicon clusters using local chemical environments

    ORAL

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    Publication: Zauchner, M, Dal Forno, S, Csanyi, G, Horsfield, A, Lischner, J. "Predicting polarizabilities of silicon clusters using local chemical environments". Machine Learning: Science and Technology 2021, https://doi.org/10.1088/2632-2153/ac2cfe

    Presenters

    • Mario G Zauchner

      Imperial College London

    Authors

    • Mario G Zauchner

      Imperial College London

    • Johannes C Lischner

      Imperial College London

    • Andrew Horsfield

      Imperial College London

    • Gabor Csanyi

      University of Cambridge

    • Stefano Dal Forno

      Nanyang Technological University

    View abstract →

  • Local Extreme Learning Machines: A Neural Network-Based Spectral Element-Like Method for Computational PDEs

    ORAL

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    Publication: S. Dong & Z. Li, "Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations", Computer Methods in Applied Mechanics and Engineering, 387, 114129, 2021 (also arXiv:2012.02895)

    Presenters

    • Suchuan Dong

      Purdue University

    Authors

    • Suchuan Dong

      Purdue University

    View abstract →