All times in this Schedule are Pacific Time (PT)
Tuesday, March 21, 2023
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2:30 - 3:00
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Michael Taylor (Los Alamos National Laboratory)
Architector: workflows for rapid generation of sane f-block molecular
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Han Lin Mai (Max-Planck-Institut für Eisenforschung GmbH)
Cosegregation matters in grain boundary segregation
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Thursday, March 23, 2023
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2:30 - 3:00
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Maciej Buze (Heriot-Watt University)
30pmExploring atomistic energy landscapes through bifurcation theory, numerical continuation and deflation techniques
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Andrew Rohskopf (Sandia National Laboratories)
Exploring model complexity in machine learned potentials with FitSNAP
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Tuesday, April 4, 2023
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2:30 - 3:00
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Weiqi Chu (University of California, Los Angeles (UCLA))
A reduced-order method for electron transport with long-range interactions
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Soumendu Bagchi (Los Alamos National Laboratory)
Atomistic coupling of multiple physical and computational scales in materials plasticity
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Thursday, April 6, 2023
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2:30 - 3:00
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Thomas Hudson (University of Warwick)
Mobilities for thermal screw dislocation motion via Large Deviations theory
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Peter Hatton (Los Alamos National Laboratory)
Long Time-scale Molecular Dynamics Modeling of He Bubble Growth at W Grain Boundaries
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Tuesday, April 11, 2023
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2:30 - 3:00
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Mira Todorova (Max-Planck-Institut für Eisenforschung GmbH)
Modelling electrochemical solid/liquid interfaces from first principles
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Jason Gibson (Los Alamos National Laboratory)
How to ask machine learning models the right questions for material discovery
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Thursday, April 13, 2023
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2:30 - 3:00
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To Be Announced
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Petr Grigorev (Aix-Marseille University)
Virtual Talk: TBA
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Tuesday, April 25, 2023
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Morning Session
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11:00 - 12:00
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Danny Neuhauser (University of California, Los Angeles (UCLA))
Virtual Talk: 'Stochastic methods for DFT and TDDFT'
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2:30 - 3:00
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Ye Luo (Argonne National Laboratory)
QMCPACK Redesign with Hierarchical Parallelism and Accelerator Friendly Algorithms.
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Jason Gibson (Los Alamos National Laboratory)
How to ask machine learning models the right questions for material discovery
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Thursday, April 27, 2023
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2:30 - 3:00
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Maciej Buze (Heriot-Watt University)
Artificial microstructures: Efficient generation of curved grains with given volumes and aspect ratio
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Tuesday, May 9, 2023
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2:30 - 3:00
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Daniel Utt (OVITO GmbH)
Mapping atoms to a perfect crystal lattice: How to identify dislocations
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Thursday, May 11, 2023
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2:30 - 3:00
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To Be Announced
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Tuesday, May 16, 2023
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2:30 - 3:00
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Elin Theilen (Fraunhofer MEVIS: Institute for Digital Medicine)
On digital medicine in orthopedic interventions
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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Wei Zhu (University of Alabama)
Variational models in image processing
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Thursday, May 18, 2023
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2:30 - 3:00
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To Be Announced
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Tuesday, May 30, 2023
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2:30 - 3:00
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Xiaochen Du (Massachusetts Institute of Technology)
Machine-learning accelerated simulations for heuristic-free surface reconstruction
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Thursday, June 1, 2023
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2:30 - 3:00
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To Be Announced
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Tuesday, June 6, 2023
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2:30 - 3:00
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To Be Announced
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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Thursday, June 8, 2023
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2:30 - 3:00
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Eva Zaat (University of Warwick)
Mathematical modelling of three point bending using asymptotics
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3:00 - 3:30
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Tea Time
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3:30 - 4:00
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To Be Announced
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