lamm-mit / MechAgentsLinks
Agent-based LLM modeling of mechanics problems
☆30Updated last year
Alternatives and similar repositories for MechAgents
Users that are interested in MechAgents are comparing it to the libraries listed below
Sorting:
- ☆10Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- ☆25Updated this week
- A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical met…☆25Updated 2 years ago
- ☆66Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆46Updated last month
- Surrogate Modeling of the Aerodynamic Performance for Transonic Regime☆11Updated last year
- Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law☆19Updated 4 months ago
- ☆18Updated 8 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆69Updated 8 months ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆17Updated 2 months ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- Neural SPH☆32Updated last year
- ☆88Updated 3 months ago
- ☆32Updated last week
- The Senseiver: attention-based global field reconstruction from sparse observations☆26Updated 7 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 9 months ago
- ☆13Updated 4 years ago
- Rethinking materials simulations: Blending DNS with Neural Operators☆20Updated last year
- ☆34Updated last month
- A Python package for modeling linear viscoelasticity with fractional rheology models☆13Updated 3 weeks ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆30Updated 2 years ago
- METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design☆15Updated 2 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆102Updated 10 months ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆37Updated last year
- 采用PINN/ResPINN对两种偏微分方程(Burgers&Allen-Cahn)的训练与求解☆12Updated 4 years ago
- Code for the paper Universal Physics Transformers☆118Updated 2 weeks ago
- Deep learning model to predict complex stress and strain fields in hierarchical composites☆28Updated 2 years ago
- A phase-field simulation tool for microstructure evolution in multi-component alloy systems☆17Updated last year