WEBINAR
The Innovative Force of High-Performance Computing in Materials Science
Our society is facing unprecedented global challenges including the need for affordable and environmentally responsible primary energy, carbon-neutral processes for key materials such as steel, clean and safe transportation, and a myriad of products including food and healthcare. Meeting these challenges requires the most powerful tools ever created by human ingenuity: high-performance computing combined with advanced simulation software built on solid theoretical physical and chemical foundations.
This webinar will highlight these points with examples from metal alloys related to the safety of nuclear power reactors, materials for advanced batteries, and processes for CO2 capture. Examples of scalability in single and multi-node for larger input sizes will be shared using applications, VASP and LAMMPS. A perspective on future developments in multi-scale modeling combined with data-driven machine learning approaches will conclude this webinar.
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Erich Wimmer is co-founder, Chief Scientific Officer, and Chairman of the Board of Materials Design. Erich led the development of a multi-million dollar per annum business in the chemical and pharmaceutical market for Cray Research, Inc. in the Eighties and Nineties, organized industrial consortia, developed the UniChem simulation environment, and now leads a consulting team that creates industrial value for clients using computational materials science and engineering methodologies. In addition to his hands-on practical industrial experience, Dr. Wimmer is author and co-author of over 130 scientific publications and several patents and has given numerous lectures world-wide.
Evan Weinberg is a devtech compute engineer with NVIDIA, focusing on algorithm development and performance optimization in the Kokkos performance portable framework for the LAMMPS molecular dynamics package. Before joining NVIDIA, he received his Ph.D. in physics from Boston University in Massachusetts, and worked on the algorithmic development of multi-scale linear solvers for lattice quantum chromodynamics as part of the Exascale Computing Project.
Stefan Maintz manages development technology engineers for computational chemistry and life sciences based from Munich, Germany. Before he switched to management, Stefan led NVIDIA’s efforts on VASP and other HPC codes in computational chemistry and materials science. Stefan studied chemistry with a focus on theory and programming and graduated from RWTH Aachen University, Germany.
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Date & Time: Wednesday, April 22, 2018