Stars
High accuracy RAG for answering questions from scientific documents with citations
Agent Laboratory is an end-to-end autonomous research workflow meant to assist you as the human researcher toward implementing your research ideas
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…
GAN for synthesizing microstructures based on processing conditions.
The largest KG for material science
An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process
Learning in infinite dimension with neural operators.
Physics informed neural operator that solves the navier stokes equations and the heat advection equation for conjugate heat trasnfer problems on a channel. The goal is to simulate and generalize ac…
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
This repository is for the paper we submitted and titled 'Physics-informed Fourier-Gaussian-Laplacian neural network for temperature field reconstruction and long-term prediction in laser wire addi…
A Physics-Informed and Data-Driven Framework for Robotic Welding in Manufacturing
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Cellular automata code for alloy nucleation and solidification written with Kokkos
Physics-Informed Neural networks for Advanced modeling
Plugin for abaqus to generate user subroutines in welding and Additive Manufacturing modeling
This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue laser-directed energy deposition"
Physics-informed neural networks (PINNs) and deep operator networks for complex PDEs that appear in additive manufacturing.
This repository developed an ANN to predicting the residual stress of a single weld bead on a plate.
Investigating PINNs
A curated list of resources for using LLMs to develop more competitive grant applications.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
An optimal control problem for single spot laser pulse welding