Join a technical webinar where Dr. Ranjan Anantharaman demonstrates how to accelerate complex PDE system simulations using surrogate models. Learn to leverage JuliaSim and DigitalEcho technologies to dramatically reduce computational time for parameter estimation and sensitivity analysis in inverse problems. Master the process of building PDE system surrogate models, implementing them with JuliaSim Surrogates through large-scale batch computing on the JuliaHub platform, and defining inverse problems using JuliaSim ModelOptimizer. Discover techniques that can achieve 100x faster time-to-optimal design and sensitivity analysis for engineering applications. Gain practical knowledge in generating and utilizing surrogate models to streamline optimization processes for inverse PDE problems.
Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems
Overview
Syllabus
Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems
Taught by
JuliaHub
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