Sitemap - 2025 - AI/Machine learning in fluid mechanics, engineering, physics
Pt 3: Project ideas, links to code, papers, galore
Learning Pathway Pt 2: Datasets, Hands-on, ML libraries, ...
Learning Pathway Pt 1: AI/ML for us Mech./Aero Engineers
NVIDIA Part 3: Explaining their latest and greatest ML Surrogate for CFD
Parsimony in Scientific Machine Learning
Technology readiness levels for machine learning systems
NVIDIA Part 2: Papers galore and conference takeaways
Pt 1: Combining Simulation & Test Data into AI/ML Models
Code Examples: AI-Based Sampling Approaches (Cookbook Part 2)
Table of Contents: Posts Summary
Cookbook: Making Small Dataset Projects Successful (CFD, FEA, …)
Part 1: AI/ML in Solvers (CFD, FEA)
NVIDIA Part 1: Code, Tutorials, Papers, & the Conference You Should Attend
February Literature Summary w/ PDFs
Attention Mechanisms for CFD/FEA - Part 2 (Literature Review)
Attention Mechanisms for CFD/FEA - Part 1
Back to Basics- code & writeup for practical hyperparameter tunning exercise
Overview: ML Models for Computational Fluid Dynamics Simulation
Install-Free Code Tutorial: PINNs in turbulent flow
AI/ML in CAE: Job Postings, Career Advice, & Growth Talk
CAE: Landscape of AI Models w.r.t. GenAI (not considering LLMs, agents, or copilots here)
January Literature Summary w/ PDFs