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.
Recent Activity
Collections
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We present an approach to modifying Transformer architectures by integrating graph-aware relational reasoning into the attention mechanism.
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lamm-mit/Llama-3.2-3B-Instruct-Sparse-GIN-orca-math-word-problems
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lamm-mit/Llama-3.2-3B-Instruct-Sparse-GIN-logic
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lamm-mit/Llama-3.2-3B-Instruct-Sparse-GIN-bio
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Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers
Paper • 2501.02393 • Published • 8
models
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lamm-mit/AutomataGPT
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lamm-mit/VibeGen
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lamm-mit/Cephalo-Llama-3.2-11B-Vision-Instruct-128k-01-29-2025
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lamm-mit/Cephalo-Llama-3.2-11B-Vision-Instruct-128k-01-28-2025
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lamm-mit/Graph-Preflexor_01062025
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lamm-mit/Llama-3.2-3B-Instruct-Sparse-GIN-bio
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lamm-mit/Llama-3.2-3B-Instruct-Sparse-GIN-logic
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lamm-mit/Llama-3.2-3B-Instruct-Sparse-GIN-orca-math-word-problems
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lamm-mit/Graph-Preflexor_01042025
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lamm-mit/x-lora-gemma-7b
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datasets
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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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lamm-mit/music21_logic_dataset
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lamm-mit/synthetic_graph_pathfinding_100K
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lamm-mit/synthetic_graph_pathfinding
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