Instructor: Kelvin Mischo from Wolfram Summary: This workshop will provide hands-on experience with Mathematica for engineering applications. The workshop will also cover newer capabilities like the link to AI / LLMs to create Mathematica calculations or programs. Both novice and experienced users are welcome to attend. Bio: Kelvin Mischo is a Certified Mathematica Instructor who […]
Title: Modeling Lone Pair Dynamics in Materials Speaker: Richard Remsing, Assistant Professor of Chemistry and Chemical Biology at Rutgers University Abstract: Materials properties are governed by the structure and dynamics of the bonds between their constituent atoms. In addition to covalent, metallic, and ionic interactions that we typically think about, lone pair electrons can result in […]
Title: Physics-compatible kinetic-energy and entropy preserving (KEEP) scheme for high-fidelity simulation of compressible turbulence Speaker: Soshi Kawai, Professor of Aerospace Engineering at Tohoku University Abstract: Low (or ideally zero) numerical dissipation is always critical for high-fidelity scale-resolving flow simulations, as numerical dissipation prevents the physics of inviscid kinetic energy and entropy conservation, which is an […]
Title: Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization Speaker: Eric Cyr, Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia National Laboratories Abstract: This talk will explore methods for accelerating numerical optimization constrained by transient problems using parallelism. Two types of transient problems will be […]
Speaker: Neel Dey, Postdoctoral Associate in the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory Abstract: Current medical image analysis projects involve months to years of data annotation and custom technical development. This talk introduces methods to train networks that generalize out-of-the-box to new modalities, anatomies, and datasets all without retraining for the […]