Presenter's TitleProfessor, Applied Mathematics and Computational Science Director, Extreme Computing Research Center, King Abdullah University of Science and TechnologyTalk TitleNonlinear Preconditioning for Implicit Solution of Discretized PDEs
Presenter's TitleLiew Family Professor of Electronic Structure and Simulations, Pritzker School of Molecular Engineering and Dept. of Chemistry, University of ChicagoTalk TitleQuantum embedding methods for simulations of materials on quantum computers
Presenter's TitleBren Professor of Computing and Mathematical Sciences, California Institute of TechnologyTalk TitleOptimization And Sampling Without Derivatives
Presenter's TitleRonald C. Crane (1972) Professor Department of Mechanical Engineering, MITTalk TitleCombustion Dynamics: Predictions and Insight Gained from Simulations and Diagnostics
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