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surrogate-model

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A curated list of 113 AI-ready tools for Computer-Aided Engineering — CFD, FEA, SPH, DEM, differentiable simulation, neural operators, PINNs, MCP servers. Python APIs, CLI, mesh generation, optimization.

  • Updated Apr 13, 2026
  • Shell

Explainable AI for time series: gradient-based counterfactual generation for the non-differentiable Random Shapelet Forest, using PyTorch surrogate models (Feedforward, LSTM, CNN, Transformer) and a Streamlit UI. Research internship, DSV — Stockholm University.

  • Updated Apr 16, 2026
  • Python

This project builds a machine-learning surrogate model using data generated from a quasi-6-DoF physics simulator replacing numerical integration with a neural network that can predict full 3-D trajectories including altitude, downrange motion, and lateral deflection hundreds of times faster while maintaining meter-level accuracy.

  • Updated Dec 7, 2025
  • Python

COMSOL multiphysics simulation of LPBF melt pool physics on Inconel 718, 2D coupled Marangoni convection, heat transfer, and thermo-mechanical stress; 3D single-track keyhole detection (3,452 K peak); Clausius-Clapeyron recoil pressure model; Random Forest ML surrogate (R2=0.977, 12M× speedup over COMSOL).

  • Updated Mar 23, 2026
  • Python

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