Physical AI: robots, scientific computing, and digital twins
Justin Hodges, PhDRead what I read, code what I code. I share lots of papers/code for topics in artificial intelligence/machine learning applied to engineering (CFD, FEA, numerical methods, aerodynamics, turbulence modeling, & more). I will publish enough to keep you busy.
| Platform |  | Pricing | Freemium | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 105 | Founded | a year ago | Last Issue | 6 days ago |
| Active | |||||
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hodgesj.substack.comLatest Issues
World Action Models: A Survey of Predictive Embodied AI
I read a wonderful paper recently and wanted to share it, as well as a nice infographic summary helpful for visualization.
This survey explores the emergence of World Action Models (WAMs), a class of embodied AI that integrates predictiv...
Literature Review: June 16-July 1, 2026
Let’s continue our bi-weekly literature review search for SciML surrogates! PDFs shared below as well my mini-summaries and thoughts. It’s tough to keep up with the pace of AI research and innovations, so i’ll do my best to help with these...
Robotics News & Literature (June 29th)
Another Fine Grasp
Robotics news (part 1) and companion literature (part 2, bottom), week ending June 29, 2026.
The last issue was about humanoids moving from demos toward deployment plumbing: safety stacks, wheeled humanoids, and parti...
Library for Data-Driven Physics Simulation Lectures (Free, on-demand)
An incredible resource by the libROM team at Lawrence Livermore National Laboratory (LLNL) for those looking to upskill on the fundamentals for their data-driven competencies in engineering applications (simulation).
🔗Link: https://www.li...
Robotics News & Literature (June 22nd)
Another Fine Grasp
Robotics news (part 1) and companion literature (part 2, bottom), week ending June 22, 2026.
Part 1: News Mesh
1. Nvidia introduces Halos for Robotics, a safety stack for humanoids
Axios reported on June 22...
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Authors
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\ud83d\udc4b Hello. My name is Justin and I am head of physical ai at CoreWeave. Read what I read - code what I code. I love applying #ai and #machinelearning to #engineering and scientific simulation.
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