Building the Bridge to Exascale: Applications and Opportunities for Materials, Chemistry, and Biology II
FOCUS · B22
Presentations
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Towards catalysis modeling with QMC
ORAL
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Presenters
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Viraaj Jayaram
University of Chicago
Authors
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Viraaj Jayaram
University of Chicago
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Ryan Pederson
Argonne National Lab, Department of Physics, Virginia Tech
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Liang Li
Argonne National Laboratory, Argonne National Lab, Center for Nanoscale Materials, Argonne National Laboratory
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Anouar Benali
Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne National Lab
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Ye Luo
Argonne National Laboratory, Argonne National Lab
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Maria Chan
Argonne National Lab, Argonne National Laboratory, Center for Nanoscale Materials, Argonne National Laboratory
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Accelerating quantum Monte Carlo simulations on many-core processors via OpenMP nested threading
ORAL
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Presenters
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Ye Luo
Argonne National Laboratory
Authors
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Ye Luo
Argonne National Laboratory
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Structure and magnetism in bulk and uniaxially strained LaCoO<sub>3-x </sub>through ab-initio diffusion quantum Monte Carlo
ORAL
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Presenters
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Kayahan Saritas
Materials Science and Technology Division, Oak Ridge National Laboratory
Authors
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Kayahan Saritas
Materials Science and Technology Division, Oak Ridge National Laboratory
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Jaron Krogel
Oak Ridge National Laboratory, Materials Science and Technology Division, Oak Ridge National Laboratory
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Ho Nyung Lee
Materials Science and Technology Division, Oak Ridge National Laboratory, Materials Sciences and Technology Division, Oak Ridge National Laboratory, Oak Ridge National Laboratory
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Fernando Reboredo
Oak Ridge National Laboratory, Materials Science and Technology Division, Oak Ridge National Laboratory
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Accelerating Large-Scale GW Calculations on Many-Core and Hybrid CPU+GPU HPC Systems
ORAL
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Presenters
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Mauro Del Ben
Lawrence Berkeley National Laboratory
Authors
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Mauro Del Ben
Lawrence Berkeley National Laboratory
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Felipe Da Jornada
Department of Physics, University of California, Berkeley, Department of Physics, University of California at Berkeley and Materials Sciences Division, Lawrence Berkeley National Laboratory, Physics, University of California at Berkeley, Lawrence Berkeley National Laboratory, University of California at Berkeley and Lawrence Berkeley National Laboratory, Physics, University of California, Berkeley, UC Berkeley and Lawrence Berkeley National Lab, Lawrence Berkeley National Lab, Lawrence Berkeley National Lab and University of California, Berkeley
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Andrew Canning
Lawrence Berkeley National Laboratory
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Steven G. Louie
Physics, UC Berkeley, University of California, Berkeley, Department of Physics, University of California, Berkeley, Physics Department, UC Berkeley and Lawrence Berkeley National Lab, Department of Physics, University of California at Berkeley and Materials Sciences Division, Lawrence Berkeley National Laboratory, Physics, University of California at Berkeley, University of California at Berkeley and Lawrence Berkeley National Lab, University of California at Berkeley and Lawrence Berkeley National Laboratory, Physics, University of California, Berkeley, UC Berkeley and Lawrence Berkeley National Lab, Physics, University of California - Berkeley, Physics and Materials Sciences, University of California at Berkeley and Lawrence Berkeley National Laboratory, Lawrence Berkeley National Lab and University of California, Berkeley, University of California - Berkeley, Lawrence Berkeley National Laboratory
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Jack Deslippe
National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory
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Large scale GW and BSE calculations using interoperable software building blocks
ORAL
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Presenters
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Marco Govoni
Materials Science Division, Argonne National Laboratory, Institute for Molecular Engineering and Materials Science Division, Argonne National Laboratory, Materials Science Division and Institute for Molecular Engineering, Argonne National laboratory
Authors
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Marco Govoni
Materials Science Division, Argonne National Laboratory, Institute for Molecular Engineering and Materials Science Division, Argonne National Laboratory, Materials Science Division and Institute for Molecular Engineering, Argonne National laboratory
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He Ma
Institute for Molecular Engineering and Department of Chemistry, University of Chicago, Chemistry, University of Chicago, University of Chicago
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Ngoc Linh Nguyen
THEOS, Ecole Polytechnique Federale de Lausanne, University of Chicago
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Francois Gygi
University of California, Davis, Computer Science, University of California Davis
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Giulia Galli
Institute for Molecular Engineering, University of Chicago, Institute for Molecular Engineering and Materials Science Division, University of Chicago and Argonne National Laboratory, University of Chicago, Argonne National Lab, Institute for Molecular Engineering and Department of Chemistry, University of Chicago, University of Chicago and Argonne National Laboratory, The Institute for Molecular Engineering, University of Chicago, University of Chicago, Institute for Molecular Engineering, Univ. of Chicago; Department of Chemistry, Univ. of Chicago; Materials Science Division, Argonne National Laboratory
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Pushing the Accuracy Limits of Scalable Fixed-Node Diffusion Monte Carlo for Noncovalent Interactions
ORAL
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Presenters
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Matus Dubecky
Department of Physics, University of Ostrava, Physics, University of Ostrava
Authors
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Matus Dubecky
Department of Physics, University of Ostrava, Physics, University of Ostrava
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Deep Machine Learning for Atomically-Resolved Imaging Experiments: Physics Extraction and Feedback
Invited
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Presenters
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Maxim Ziatdinov
Oak Ridge National Laboratory
Authors
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Maxim Ziatdinov
Oak Ridge National Laboratory
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Decoding Inverse Imaging Problems in Materials with Distributed Deep Learning
ORAL
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Presenters
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Nouamane Laanait
Oak Ridge National Laboratory
Authors
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Nouamane Laanait
Oak Ridge National Laboratory
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Albina Y Borisevich
Center for Nanophase Materials Sciences, Oak Ridge National Lab, Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge National Laboratory
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Alexander Sergeev
Uber Technologies, Inc.
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Sean Treichler
NVIDIA Corporation
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Michael A. Matheson
Oak Ridge National Laboratory
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Convolutional neural network based super resolution for brain cell mapping
ORAL
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Presenters
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Prabhat KC
X-ray Science Division, Argonne National Laboratory
Authors
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Prabhat KC
X-ray Science Division, Argonne National Laboratory
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Vincent De Andrade
X-ray Science Division, Argonne National Laboratory
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Narayanan Kasthuri
Department of Neurobiology, The University of Chicago
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Jussi-Petteri Suuronen
European Synchrotron Radiation Facility
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Towards Exascale Bio-molecular Simulations with Artificial Intelligence Workflows
ORAL
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Presenters
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Arvind Ramanathan
Oak Ridge National Laboratory
Authors
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Arvind Ramanathan
Oak Ridge National Laboratory
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Debsindhu Bhowmik
Oak Ridge National Laboratory
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heng ma
Oak Ridge National Laboratory
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Michael Todd Young
Oak Ridge National Laboratory
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Chris Stanley
Oak Ridge National Laboratory
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Dynamical Implications of Hyperparameters in Reinforcement Learning
ORAL
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Presenters
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Hyun Jin Kim
Northwestern University
Authors
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Hyun Jin Kim
Northwestern University
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Daniel Shams
Northwestern University
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David Schwab
The Graduate Center, City University of New York, City University of New York, Institute for Theoretical Science, CUNY Graduate Center
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ExaTN - A Scalable Exascale Math Library for Hierarchical Tensor Network Representations and Simulations
ORAL
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Presenters
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Alexander McCaskey
Oak Ridge National Laboratory
Authors
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Alexander McCaskey
Oak Ridge National Laboratory
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Eugen Dumitrescu
Oak Ridge National Laboratory
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Dmitry Liakh
Oak Ridge National Laboratory
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Gonzalo Alvarez
Oak Ridge National Laboratory
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Tiffany Mintz
Oak Ridge National Laboratory
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UV/vis absorption spectra database auto-generated for optical applications via the Argonne data science program
ORAL
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Presenters
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Ganesh Sivaraman
Argonne Leadership Computing Facility, Argonne National Laboratory
Authors
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Edward J. Beard
Cavendish Laboratory, Department of Physics, University of Cambridge
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Ganesh Sivaraman
Argonne Leadership Computing Facility, Argonne National Laboratory
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Alvaro Vazquez-Mayagoitia
Argonne National Lab, Argonne Leadership Computing Facility, Argonne National Laboratory, Argonne National Labs
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Venkatram Vishwanath
Argonne Leadership Computing Facility, Argonne National Laboratory
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Jacqueline M Cole
Cavendish Laboratory, Department of Physics, University of Cambridge
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