9 citations · 42 across the 16 of their papers we have counts for
5 papers · 1 filter
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…
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…
AutomataGPT: Forecasting and Ruleset Inference for Two-Dimensional Cellular Automata
Jaime A. Berkovich, Noah S. David, Markus J. Buehler
Cellular automata (CA) provide a minimal formalism for investigating how simple local interactions generate rich spatiotemporal behavior in domains as diverse as traffic flow, ecol…
Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles
Alireza Ghafarollahi, Markus J. Buehler
Advances in artificial intelligence (AI) promise autonomous discovery, yet most systems still resurface knowledge latent in their training data. We present Sparks, a multi-modal mu…
Revealing diatom-inspired materials multifunctionality
Ludovico Musenich, Daniele Origo, Filippo Gallina +2
Diatoms have been described as nanometer-born lithographers because of their ability to create sophisticated three-dimensional amorphous silica exoskeletons. The hierarchical archi…