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PICS Colloquium: “Modeling Assembly of Colloids with Charges and with Mobile Binders”

PICS Large Conference Room – 534 3401 Walnut Street, 5A, Philadelphia, PA, United States

  Speaker: Assistant Professor of Chemistry at New York University   Abstract: In this talk, I will present our recent efforts in probing the physical processes underlying self-assembly of colloidal gels and crystals. Nano-meter to micron sized particles in suspension can be a powerful platform for assembly novel functional materials, but the challenge is to […]

PICS Colloquium: “MFEM: Accelerating Efficient Solution of PDEs at Exascale”

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Abstract: Upcoming exascale architectures require rethinking of the numerical algorithms used in large-scale PDE-based applications. These architectures favor algorithms, such as high-order finite elements, that expose fine-grain parallelism and maximize the ratio of floating point operations to energy intensive data movement. In this talk we present an overview of MFEM , a scalable library for […]

PICS Colloquium: “An introduction to neural ODEs in scientific machine learning” with Patrick Kidger

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Speaker: Patrick Kidger, Mathematician at Google X Abstract: This is a quick introduction to neural ODEs for scientific applications. The goal is to (a) provide a modelling tool that enhances the expressivity of existing theory-driven approaches, (b) demonstrate that neural ODEs are easy to use via modern autodifferentiable software, and (c) give enough of the […]

Arvind Bhusnurmath for python boot camp

PICS Workshop: Python Boot Camp

PICS Large Conference Room – 534 3401 Walnut Street, 5A, Philadelphia, PA, United States

Instructor: Arvind Bhusnurmath Title:  Python Boot Camp – from variables and simple statements to fun data visualizations Summary: In this boot camp we will begin from the basics of Python programming (assuming little to no programming knowledge) and quickly cover topics such as conditionals and loops with the intent to use Python as a tool […]

Eric Cyr

PICS Colloquium: “Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization” with Eric Cyr

PICS Large Conference Room – 534 3401 Walnut Street, 5A, Philadelphia, PA, United States

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 […]