AI/Machine learning in fluid mechanics, engineering, physics

AI/Machine learning in fluid mechanics, engineering, physics

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AI/Machine learning in fluid mechanics, engineering, physics
AI/Machine learning in fluid mechanics, engineering, physics
Pt 1: Physics-Informed Machine Learning

Pt 1: Physics-Informed Machine Learning

A hands-on post to open this series on Physics-Informed ML

Justin Hodges, PhD's avatar
Justin Hodges, PhD
Jul 08, 2025
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AI/Machine learning in fluid mechanics, engineering, physics
AI/Machine learning in fluid mechanics, engineering, physics
Pt 1: Physics-Informed Machine Learning
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I am going to do a series on Physics-Informed Machine Learning (PIML). This is an area that I am quite passionate about and have been working since for a little over 5 years. Yes, this includes PINNs, but many other things as well that I would really like to emphasize. There are many other ways we can encapsulate/obey the physics at hand into our ML surrogate modeling.

Part 1 here will focus on libraries allowing application developers to build/use ML surrogates based on physics.

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