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 | 108 | Founded | 2 years ago | Last Issue | 6 days ago |
| Active | |||||
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hodgesj.substack.comLatest Issues
Robotics News & Literature (July 13th)
Another Fine Grasp
Robotics news (part 1) and companion literature (part 2, bottom), week ending July 6, 2026.
The July 6 issue ended with the idea of a “data factory”: facilities, simulations, and teleoperation loops built to turn robo...
Literature Review: June 14-July 6, 2026
PDFs and brief summary for SciML (automotive, aerospace, manufacturing)
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 pa...
Robotics News & Literature (July 6th)
Another Fine Grasp
Robotics news (part 1) and companion literature (part 2, bottom), week ending July 6, 2026.
The June 29 issue ended on robotics entering its accountability phase: robots now have to be priced, supervised, insured, rec...
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...
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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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