Voozh

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.

Papers

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Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

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BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning

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Submitted by

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Markus Buehler

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

👁 lamm-mit
LAMM: MIT Laboratory for Atomistic and Molecular Mechanics

229 2

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Submitted by

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Markus Buehler

BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning

👁 lamm-mit
LAMM: MIT Laboratory for Atomistic and Molecular Mechanics

1 2

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Submitted by

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Markus Buehler

GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design

👁 lamm-mit
LAMM: MIT Laboratory for Atomistic and Molecular Mechanics

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Submitted by

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Markus Buehler

Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery

👁 lamm-mit
LAMM: MIT Laboratory for Atomistic and Molecular Mechanics

5 3

URL: https://huggingface.co/lamm-mit/papers

⇱ lamm-mit (LAMM: MIT Laboratory for Atomistic and Molecular Mechanics)

AI & ML interests

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

GraphAgents: Knowledge Graph-Guided Agentic AI for Cross-Domain Materials Design

Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery