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Artwork for AI in Engineering, Physics, Aerodynamics

AI in Engineering, Physics, Aerodynamics

Justin Hodges, PhD

Read 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
Substack
PricingFreemiumPublishesTwice weekly
Issues88Foundeda year agoLast Issue6 days ago
Active

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Artwork for AI in Engineering, Physics, Aerodynamics

Latest Issues

A Beginner’s Tutorial: the new HiLiftAeroML dataset with code to train a ML surrogate

New aerodynamics dataset released!

HiLiftAeroML is a brand new dataset made public only yesterday. We’re going to train some models to it and share the code below. When I gained access to it I knew I wanted to speedrun a tutorial and post...

6 days ago
4
Paid

Training DoMINO on Simulated Jet Engine Bracket Designs

ML Surrogate code/dataset to learn structural behavior

This tutorial explores how to train NVIDIA PhysicsNeMo’s DoMINO model on SimJEB, a dataset of simulated jet engine bracket designs. At a high level, the goal is to build a neural surro...

12 days ago
5
Paid

Literature Review: April 29-May 13, 2026

Topic == SciML Surrogates in CFD/FEA

The most interesting thread this period is that “geometry” is becoming less a nuisance variable and more the central design object. AeroJEPA is the cleanest example: instead of mapping geometry directly...

13 days ago
Paid

Tutorial: Toilet Reconstruction with Models that Learn Geometry (Mamba Family)

5 models following-up from literature review

In my last post, “Literature Review: The Best ML Models for Learning Geometry”, I covered a number of publications for various models that can learn and reconstruct geometries. As follow-up, I w...

14 days ago
3
Paid

Literature Review: The Best ML Models for Learning Geometry

PDFs, paper summaries, and select figures

Applying ML surrogates to problems in industry implicitly requires models that can learn complex, large, irregular geometries. Think complex contoured car bodies, multi-stage gas turbine blades, or...

15 days ago
5
Paid

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  • Justin Hodges, PhD

    \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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