Archive - AI/Machine learning in fluid mechanics, engineering, physics

Pt 3: Project ideas, links to code, papers, galore

ML Surrogates for CFD

Jun 19 •

Justin Hodges, PhD

Learning Pathway Pt 2: Datasets, Hands-on, ML libraries, ...

(Nothing to do with ChatGPT)

Jun 9 •

Justin Hodges, PhD

Learning Pathway Pt 1: AI/ML for us Mech./Aero Engineers

Nearly 3,000 words to describe a suggestion on how to grow your ML skill for CFD/FEA type problems. Part 1 of several to come

Jun 9 •

Justin Hodges, PhD

May 2025

NVIDIA Part 3: Explaining their latest and greatest ML Surrogate for CFD

Listen now | Conceptual review on how it works

May 29 •

Justin Hodges, PhD

23:28

Parsimony in Scientific Machine Learning

We talked about small data, now let's talk about small models

May 18 •

Justin Hodges, PhD

Technology readiness levels for machine learning systems

Considerations for jobs relying on you to scale and deploy your AI/ML into engineering (eg simulation) environments

May 14 •

Justin Hodges, PhD

NVIDIA Part 2: Papers galore and conference takeaways

Tutorials, Overview of the 'Model Zoo', Publications, and Industry Insights

May 7 •

Justin Hodges, PhD

April 2025

Pt 1: Combining Simulation & Test Data into AI/ML Models

How mixing the two and folding into AI/ML models brings novel value. Part 1: Industry focus. Part 2: Methods focus.

Apr 30 •

Justin Hodges, PhD

Code Examples: AI-Based Sampling Approaches (Cookbook Part 2)

Avoid needing a huge (simulation) dataset to train your AI/ML model

Apr 17 •

Justin Hodges, PhD

Table of Contents: Posts Summary

What have I posted so far, what's next, and what do you want to see next?

Apr 13 •

Justin Hodges, PhD

Cookbook: Making Small Dataset Projects Successful (CFD, FEA, …)

Do I have enough data? How do I know? How to quickly fix it if I don't? Let's get some answers.

Apr 8 •

Justin Hodges, PhD

March 2025

Part 1: AI/ML in Solvers (CFD, FEA)

Lots of attention has always been given to ML models trained on historical datasets -- but here we talk about integration AI/ML machinery into our…

Mar 28 •

Justin Hodges, PhD

#nojs-banner { position: fixed; bottom: 0; left: 0; padding: 16px 16px 16px 32px; width: 100%; box-sizing: border-box; background: red; color: white; font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 13px; line-height: 13px; } #nojs-banner a { color: inherit; text-decoration: underline; } This site requires JavaScript to run correctly. Please turn on JavaScript or unblock scripts