Presenter's TitleAssociate Professor of Mathematics, Courant Institute of Mathematical Sciences, New York UniversityTalk TitleNumerically simulating particles with short-ranged interactions
Presenter's TitleMichael F. Cronin Professor of Applied Mathematics and Applied Physics, Professor of Physics, Harvard UniversityTalk TitleMachine Learning for Partial Differential Equations
Presenter's TitleProfessor of Materials Science and Engineering University of California, Berkeley; Faculty Staff Scientist, Lawrence Berkeley National LaboratoryTalk TitleData-Driven Design for Energy Materials
Presenter's TitleProfessor, Department of Mechanical Engineering, and Department of Mathematics Director, Michigan Institute for Computational Discovery & Engineering, University of MichiganTalk TitleBayesian neural networks for weak solution of PDEs with uncertainty quantification
Presenter's TitleProfessor of Mathematics and Computer Science, Courant Institute of Mathematical Sciences, New York UniversityTalk TitleEstimation of extreme event probabilities in complex systems governed by PDEs
Presenter's TitleCenter for Computing Research, Sandia National LaboratoriesTalk TitleHigh-Fidelity Large-Scale Atomistic Simulations of Materials using LAMMPS, SNAP Interatomic Potentials, and Massively Parallel Computers
Presenter's TitleSenior Scientist, Combustion Research Facility, Sandia National LaboratoriesTalk TitleTowards DNS of Turbulent Combustion at the Exascale
Presenter's TitleProfessor of Physics and Astronomy, Department of Chemical and Biomolecular Engineering, Catalysis Center for Energy Innovation (CCEI), RAPID Manufacturing Institute, Delaware Energy Institute (DEI), University of DelawareTalk TitleData science and multiscale modeling for chemical sciences
Presenter's TitleTheodore Y. Wu Professor of Environmental Science and Engineering, Caltech Senior Research Scientist, NASA’s Jet Propulsion LaboratoryTalk TitleEarth System Modeling 2.0: Toward Data-Informed Climate Models With Quantified Uncertainties
Presenter's TitleAssociate Professor, Computer Science Technical University of MunichTalk TitleDifferentiable Physics Simulations for Deep Learning Algorithms