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X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design
Paper • 2402.07148 • Published • 3 -
ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning
Paper • 2402.04268 • Published -
MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge
Paper • 2311.08166 • Published • 2 -
ForceGen: End-to-end de novo protein generation based on nonlinear mechanical unfolding responses using a protein language diffusion model
Paper • 2310.10605 • Published • 1
LAMM: MIT Laboratory for Atomistic and Molecular Mechanics
Enterprise
university
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.
Collections
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Cephalo is a series of multimodal vision large language models (V-LLMs) designed to integrate visual and linguistic reasoning in materials science.
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lamm-mit/cephalo
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lamm-mit/Cephalo-Idefics-2-vision-12b-alpha
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lamm-mit/Cephalo-Idefics-2-vision-10b-alpha
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lamm-mit/Cephalo-Idefics-2-vision-10b-beta
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lamm-mit/Cephalo-Idefics-2-vision-8b-beta
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lamm-mit/Cephalo-Idefics-2-vision-8b-alpha
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lamm-mit/Cephalo-Llava-v1.6-Mistral-vision-8b-alpha
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lamm-mit/Cephalo-Phi-3-vision-128k-4b-alpha
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lamm-mit/Cephalo-Phi-3-vision-128k-4b-beta
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lamm-mit/x-lora
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datasets
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lamm-mit/Cephalo-Bioinspired-Mechanics-Materials
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lamm-mit/Cephalo-Wikipedia-Materials
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lamm-mit/test_images
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lamm-mit/leaf-images
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lamm-mit/x-lora-dataset
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lamm-mit/MechanicsMaterials
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lamm-mit/GPTProteinPretrained
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lamm-mit/SilkomePretrainedGPT
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