Webinar

Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems

Webinar

Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems

Event Date & Time

Oct 31, 2023, 1:00 PM

Oct 31, 2023, 1:00 PM

ET

Speakers

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Event Date & Time

Oct 31, 2023, 1:00 PM

ET

Speakers

Share

Engineers working on complex PDE systems grapple with computationally expensive inverse problems require substantial time and resources for parameter estimation and sensitivity analysis. Time-to-design can be substantially improved by leveraging JuliaSim and DigitalEcho to generate surrogate models of PDE systems.

In this webinar, Dr. Ranjan Anantharaman explains how to build surrogate models of PDE Systems and use them in downstream inverse problems. We will walk you through the steps to use JuliaSim surrogates and DigitalEcho technology, resulting in 100x faster time-to-optimal design and sensitivity analysis.

Learn how to:

  • Generate a surrogate model using JuliaSim Surrogates using large batch compute on the JuliaHub platform

  • Define an inverse problem using JuliaSim ModelOptimizer

  • Use a surrogate model to accelerate the optimization of the inverse problem

Speakers

Dr. Ranjan Anantharaman is a Sales Engineer at JuliaHub Inc, specializing in JuliaSim's modeling and simulation offerings. He has a PhD in Mathematics & Computational Science from MIT and his expertise lies in shaping the future of simulation workflows with scientific machine learning. Ranjan collaborates with engineering firms, leveraging his background in surrogate modeling for high-dimensional dynamical systems developed at JuliaLab (MIT CSAIL). He has actively contributed to the Julia community, chairing JuliaCon since 2020.

Speakers

Dr. Ranjan Anantharaman is a Sales Engineer at JuliaHub Inc, specializing in JuliaSim's modeling and simulation offerings. He has a PhD in Mathematics & Computational Science from MIT and his expertise lies in shaping the future of simulation workflows with scientific machine learning. Ranjan collaborates with engineering firms, leveraging his background in surrogate modeling for high-dimensional dynamical systems developed at JuliaLab (MIT CSAIL). He has actively contributed to the Julia community, chairing JuliaCon since 2020.

Speakers

Dr. Ranjan Anantharaman is a Sales Engineer at JuliaHub Inc, specializing in JuliaSim's modeling and simulation offerings. He has a PhD in Mathematics & Computational Science from MIT and his expertise lies in shaping the future of simulation workflows with scientific machine learning. Ranjan collaborates with engineering firms, leveraging his background in surrogate modeling for high-dimensional dynamical systems developed at JuliaLab (MIT CSAIL). He has actively contributed to the Julia community, chairing JuliaCon since 2020.

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Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems

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Faster Surrogate Model Simulation - Accelerating Inverse PDE Problems