LAMM: MIT Laboratory for Atomistic and Molecular Mechanics

Enterprise

university

https://meche.mit.edu/people/faculty/mbuehler@mit.edu

AI & ML interests

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.

Recent Activity

mjbuehler updated a dataset 10 days ago

lamm-mit/synthetic_graph_pathfinding_100K

mjbuehler updated a dataset 10 days ago

lamm-mit/synthetic_graph_pathfinding

mjbuehler authored a paper 3 months ago

SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning

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Collections 6

spaces 1

Running

387

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Pdf2audio

models 86

datasets 35

lamm-mit/synthetic_graph_pathfinding_100K

Viewer • Updated 10 days ago • 105k • 22

lamm-mit/synthetic_graph_pathfinding

Viewer • Updated 10 days ago • 105k • 16

lamm-mit/LifeGPT-broad-entropy

Viewer • Updated Sep 19 • 10k • 37

lamm-mit/LifeGPT-high-entropy

Viewer • Updated Sep 19 • 10k • 37

lamm-mit/leaf-flux-images-and-captions

Viewer • Updated Sep 11 • 22 • 35

lamm-mit/spider-silk-benchmark

Viewer • Updated Aug 27 • 159 • 44

lamm-mit/bio-silk-mech-mix-q-a-35K-sft

Viewer • Updated Aug 26 • 73.3k • 34

lamm-mit/spider-silk-DPO

Viewer • Updated Aug 26 • 21.3k • 41

lamm-mit/bio-inspired-DPO

Viewer • Updated Aug 26 • 4.93k • 36 • 1

lamm-mit/bio-silk-mech-mix-q-a-35K

Viewer • Updated Aug 26 • 35.7k • 33

LAMM: MIT Laboratory for Atomistic and Molecular Mechanics

AI & ML interests

Recent Activity

Collections 6

PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinking

lamm-mit/PRefLexOR_ORPO_DPO_EXO_10242024

lamm-mit/PRefLexOR_ORPO_DPO_EXO_REFLECT_10222024

lamm-mit/meta-llama-Meta-Llama-3.2-3B-Instruct-Reasoning-Tokenizer

Cephalo: Multi-Modal Vision-Language Models for Bio-Inspired Materials Analysis and Design

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

spaces 1

Pdf2audio

models 86

lamm-mit/x-lora-gemma-7b

lamm-mit/PRefLexOR_ORPO_DPO_EXO_REFLECT_10222024

lamm-mit/PRefLexOR_ORPO_DPO_EXO_10242024

lamm-mit/meta-llama-Meta-Llama-3.2-3B-Instruct-Reasoning-Tokenizer

lamm-mit/bioinspired-L-FLUX.1-dev

lamm-mit/meta-llama-Llama-3.2-3B-Instruct-untied

lamm-mit/Cephalo-Llama-3.2-11B-Vision-Instruct-128k

lamm-mit/SmolLM-Base-1.7B-CPT-SFT-DPO-09022024

lamm-mit/LifeGPT

lamm-mit/mistral-7B-v0.3-Base-CPT-SFT-DPO-09022024

datasets 35

lamm-mit/synthetic_graph_pathfinding_100K

lamm-mit/synthetic_graph_pathfinding

lamm-mit/LifeGPT-broad-entropy

lamm-mit/LifeGPT-high-entropy

lamm-mit/leaf-flux-images-and-captions

lamm-mit/spider-silk-benchmark

lamm-mit/bio-silk-mech-mix-q-a-35K-sft

lamm-mit/spider-silk-DPO

lamm-mit/bio-inspired-DPO

lamm-mit/bio-silk-mech-mix-q-a-35K

AI & ML interests

Recent Activity

Team members 2

Collections 6

spaces 1

Pdf2audio

models 86 Sort: Recently updated

datasets 35 Sort: Recently updated

models 86

datasets 35