lamm-mit
PI: Markus J. Buehler, MIT Our research focus on developing a new paradigm that designs materials from the molecular scale, using MD, ML and other methods
MITCambridge, MA
Pinned Repositories
AtomAgents
GraphReasoning
HierarchicalDesign
A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical metal metamaterials
LifeGPT
MeLM
PDF2Audio
ProtAgents
ProteinDiffusionGenerator
Generative method to design novel proteins using a diffusion model
ProteinMechanicsDiffusionDesign
SciAgentsDiscovery
lamm-mit's Repositories
lamm-mit/PDF2Audio
lamm-mit/SciAgentsDiscovery
lamm-mit/GraphReasoning
lamm-mit/MeLM
lamm-mit/AtomAgents
lamm-mit/LifeGPT
lamm-mit/HierarchicalDesign
A computational building block approach towards multiscale architected materials analysis and design with application to hierarchical metal metamaterials
lamm-mit/ProtAgents
lamm-mit/ProteinMechanicsDiffusionDesign
lamm-mit/FieldPredictorGAN
Deep learning model to predict complex stress and strain fields in hierarchical composites
lamm-mit/MateriomicTransformer
Generative Pretrained Autoregressive Transformer Graph Neural Network applied to the Analysis and Discovery of Materials
lamm-mit/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
lamm-mit/Cephalo-Phi-3-Vision-MoE
lamm-mit/MechAgents
Agent-based LLM modeling of mechanics problems
lamm-mit/LeafGAN
lamm-mit/GraphGeneration
GraphGeneration: Modeling and design of hierarchical bio-inspired de novo spider web structures using deep learning and additive manufacturing
lamm-mit/Cephalo
lamm-mit/CollagenTransformer
CollagenTransformer: End-to-End Transformer Model to Predict Thermal Stability of Collagen Triple Helices Using an NLP Approach
lamm-mit/MoleculeDiffusionTransformer
Molecular generation using diffusion models and autoregressive transformer models
lamm-mit/SilkomeGPT
Generative strategies for modeling, design and analysis of silk protein sequences for enhanced mechanical properties
lamm-mit/Cephalo-Idefics2-MoE
lamm-mit/LLM-finetuning
lamm-mit/MNNN
lamm-mit/fast-perceiver
Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.
lamm-mit/InstantMesh
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
lamm-mit/SpiderPDB
PDB files of spider silk structures
lamm-mit/FieldPerceiver
Field-to-field translation
lamm-mit/GenerativeDiffusionImages
lamm-mit/marker
Convert PDF to markdown quickly with high accuracy
lamm-mit/mergekit-Phi3-V
Tools for merging pretrained large language models.