activity
20242026
collaborators

11 papers

cs.LG2026

LEIA: Learned Environment for Interactive Architected Materials

Haiqian Yang, Yuan Cao, Markus J. Buehler

World models have enabled interactive exploration of game environments and robotic manipulation, but physical engineering remains beyond their reach: real materials exhibit nonline…

cond-mat.soft2026

A Category-Theoretic Framework from Biological Mechanics to Engineered Stimulus-Response Systems

Lee Marom, Skylar Tibbits, Gioele Zardini +1

Natural materials achieve adaptive behavior through hierarchical organization and coupled mechanisms across scales. Their translation into engineering, however, remains largely heu…

cs.AI2026

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

Fiona Y. Wang, Lee Marom, Subhadeep Pal +4

We present ScienceClaw + Infinite, a framework for autonomous scientific investigation in which independent agents conduct research without central coordination, and any contributo…

cs.LG2026

AI-Guided Human-In-the-Loop Inverse Design of High Performance Engineering Structures

Dat Quoc Ha, Md Ferdous Alam, Markus J. Buehler +2

Inverse design tools such as Topology Optimization (TO) can achieve new levels of improvement for high-performance engineered structures. However, widespread use is hindered by hig…

cs.LG2025

Generative Artificial Intelligence Extracts Structure-Function Relationships from Plants for New Materials

Rachel K. Luu, Jingyu Deng, Mohammed Shahrudin Ibrahim +4

Large language models (LLMs) have reshaped the research landscape by enabling new approaches to knowledge retrieval and creative ideation. Yet their application in discipline-speci…

cond-mat.mtrl-sci2025

Autonomous Inorganic Materials Discovery via Multi-Agent Physics-Aware Scientific Reasoning

Alireza Ghafarollahi, Markus J. Buehler

Conventional machine learning approaches accelerate inorganic materials design via accurate property prediction and targeted material generation, yet they operate as single-shot mo…