lamm-mit/bio-silk-mech-mix-q-a-35K
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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.
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Papers
Reading and Steering Representations of Materials-Science Mechanisms in an Open-Weight Language Model
Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
lamm-mit/bio-materials-text-60K
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lamm-mit/bio-silk-mech-mix-80K
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lamm-mit/magpie-ultra-v0.1-DPO
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lamm-mit/bioinspired-benchmark
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lamm-mit/bio_q_a_for_ORPO_V2
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lamm-mit/bio_q_a_for_ORPO
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lamm-mit/X-LoRA-classifier-training-data
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lamm-mit/bioinspired_gpt-4o-mini-dataset_V1_B-cleaned-orpo_dataset_V10_messageformat
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lamm-mit/protein_secondary_structure_from_PDB
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lamm-mit/bio-silk-mech-data-integrated
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lamm-mit/leaf_LoRA_SD3_V21_data
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lamm-mit/test_dataset
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lamm-mit/leaf-images-augmented
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lamm-mit/crack_stress_field_graphene_uniaxial_loading_x
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lamm-mit/crack-dynamics_1-5k
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lamm-mit/OleehyO-latex-formulas
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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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