lamm-mit/keratin-pdb
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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
Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange
BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning
lamm-mit/keratin-mech-seq-ss-md-properties
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lamm-mit/keratin-fasta
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lamm-mit/leaf-mechanics
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lamm-mit/silkome-full-idv-grouped
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lamm-mit/silkome-masp-idv-grouped
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lamm-mit/silkome-masp
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lamm-mit/structural-protein-families
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lamm-mit/protein-secondary-structure-netsurfp
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lamm-mit/protein-secondary-structure-nppe2
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lamm-mit/BeamRL-EvalData
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lamm-mit/BeamRL-TrainData
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lamm-mit/Bioinspired3D
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lamm-mit/HyperGraphReasoning
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lamm-mit/graph_reasoning_10K
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lamm-mit/graph_reasoning_1K
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lamm-mit/graph-reasoning-messages-11K
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lamm-mit/scales-12tet-defects
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lamm-mit/graph_reasoning_v3_v4_large
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lamm-mit/PRESTO-protein-force
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lamm-mit/bio-silk-mech-mix-q-a-35K-messages-only
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lamm-mit/tersoff-3atom-toy
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lamm-mit/tersoff-3atom
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lamm-mit/bioinspired-sample
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lamm-mit/leaf-microstructure
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lamm-mit/Cahn-Hilliard-spinodal
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lamm-mit/data_sample
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lamm-mit/converted_dataset_example
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lamm-mit/SAGI-1-SYMBOLIC_DATA_PLUS_REASONING_DATA_V1_100K
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lamm-mit/mlabonne-orca-math-word-problems-80k
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