lamm-mit / MechAgentsLinks
Agent-based LLM modeling of mechanics problems
☆38Updated last year
Alternatives and similar repositories for MechAgents
Users that are interested in MechAgents are comparing it to the libraries listed below
Sorting:
- A GNN-based PDE solver without pre-computed data☆39Updated 7 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆36Updated last year
- PF-PINNs: physics-informed neural networks framework for solving coupled Allen-Cahn and Cahn-Hilliard phase field equations☆28Updated 11 months ago
- Foam-Agent: An end-to-end, composable multi-agent framework for automating CFD simulations in OpenFOAM. NeurIPS 2025 Machine Learning and…☆74Updated 3 weeks ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆52Updated 3 years ago
- Rethinking materials simulations: Blending DNS with Neural Operators☆21Updated last year
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆28Updated 7 years ago
- Rheology-informed Machine Learning Projects☆23Updated last year
- ☆36Updated 6 months ago
- ☆49Updated 5 months ago
- ☆33Updated 3 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆29Updated 4 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Updated 2 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆24Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆67Updated 3 years ago
- An external library for OpenFOAM, containing a custom boundary condition for a velocity field behind cylinder.☆25Updated 2 years ago
- METASET: Exploring Shape and Property Spaces for Data-Driven Metamaterials Design☆18Updated 2 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Updated 2 years ago
- Dimensionless learning☆42Updated last week
- PINNs for 2D Incompressible Navier-Stokes Equation☆58Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆32Updated last month
- ☆107Updated 9 months ago
- ☆45Updated 3 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆23Updated 2 years ago
- A phase-field simulation tool for microstructure evolution in multi-component alloy systems☆17Updated 5 months ago
- Physics-informed radial basis network☆36Updated last year
- Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law☆19Updated 10 months ago
- The Senseiver: attention-based global field reconstruction from sparse observations☆29Updated last year