LAMM: MIT Laboratory for Atomistic and Molecular Mechanics's repositories
ProteinDiffusionGenerator
Generative method to design novel proteins using a diffusion model
HierarchicalDesign
A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical metal metamaterials
MateriomicTransformer
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
FieldCompleter
GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recovered mechanical fields for 2D and 3D complex microstructures
FieldPredictorGAN
Deep learning model to predict complex stress and strain fields in hierarchical composites
atomic2field
Codes for translating structural defects to atomic properties
GraphGeneration
GraphGeneration: Modeling and design of hierarchical bio-inspired de novo spider web structures using deep learning and additive manufacturing
MechAgents
Agent-based LLM modeling of mechanics problems
CollagenTransformer
CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach
MoleculeDiffusionTransformer
Molecular generation using diffusion models and autoregressive transformer models
AttentionCrossTranslation
Unsupervised cross-domain translation via deep learning and adversarial attention neural networks and application to music-inspired protein designs
Falcon-Programming-Language
The Falcon Programming Language.
ProteinMechanicsGNN
Rapid Prediction of Protein Natural Frequencies using Graph Neural Networks
SilkomeGPT
Generative strategies for modeling, design and analysis of silk protein sequences for enhanced mechanical properties
fast-perceiver
Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
mergekit-Phi3-V
Tools for merging pretrained large language models.