Graph-native flow models (instruct to fine-tuned reasoning models)
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
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models
106
lamm-mit/Graph-Preflexor-3b_08012026
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lamm-mit/Graph-Preflexor-1.7b_08012026
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2B
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lamm-mit/Graph-Preflexor-8b_12292025
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8B
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231
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lamm-mit/LlaDA-8B-EditFlow-graph-v520
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16
lamm-mit/LlaDA-8B-EditFlow-instruct-v500
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8
lamm-mit/LlaDA-8B-EditFlow-graph-v510
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6
lamm-mit/LlaDA-8B-EditFlow-graph-v509
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lamm-mit/LLaDA-8B-Bioinspired-dLLM-Instruct-11-21-2025
Feature Extraction
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8B
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12
lamm-mit/ProteinGPT_medium
Text Generation
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0.3B
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3
lamm-mit/cephalo
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6
datasets
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lamm-mit/graph_reasoning_10K
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10k
lamm-mit/graph_reasoning_1K
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1.02k
lamm-mit/graph-reasoning-messages-11K
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11k
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12
lamm-mit/HyperGraphReasoning
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19
lamm-mit/scales-12tet-defects
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2.05k
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12
lamm-mit/graph_reasoning_v3_v4_large
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lamm-mit/PRESTO-protein-force
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16.8k
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15
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lamm-mit/bio-silk-mech-mix-q-a-35K-messages-only
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35.7k
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14
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lamm-mit/tersoff-3atom-toy
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5k
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lamm-mit/tersoff-3atom
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1