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Scientific Computing Courses

Derivative-Informed Neural Operators for Solving PDE-Governed Optimization Problems
Inside Livermore Lab via YouTube
Data-Driven Modeling of Unknown Systems with Deep Neural Networks
Inside Livermore Lab via YouTube
ML for Solving PDEs: Neural Operators on Function Spaces
Inside Livermore Lab via YouTube
Machine Learning Applications in Scientific Problems with Sparse Data - Afternoon Address
Inside Livermore Lab via YouTube
OpenParEM2D: A Free, Open-Source Electromagnetic Simulator for 2D Waveguides and Transmission Lines
Inside Livermore Lab via YouTube
RADIUSS and HPCIC: Outreach Through Open-Source Software in the Exascale Era
Inside Livermore Lab via YouTube
Scientific Uses of Automatic Differentiation - DDPS
Inside Livermore Lab via YouTube
Cognitive Simulation: Combining Simulation and Experiment with Artificial Intelligence
Inside Livermore Lab via YouTube
Uncertainty Quantification, Software Ecosystems, and Infrastructure Resilience - Technical Talk
Inside Livermore Lab via YouTube
MFEM Workshop 2023 - Welcome and Overview
Inside Livermore Lab via YouTube
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