9 citations · 42 across the 16 of their papers we have counts for
4 papers · 1 filter
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…
Multicell-Fold: geometric learning in folding multicellular life
Haiqian Yang, Anh Q. Nguyen, Dapeng Bi +2
During developmental processes such as embryogenesis, how a group of cells fold into specific structures, is a central question in biology that defines how living organisms form. E…
X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design
Eric L. Buehler, Markus J. Buehler
We report a mixture of expert strategy to create fine-tuned large language models using a deep layer-wise token-level approach based on low-rank adaptation (LoRA). Starting with a…
ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning
A. Ghafarollahi, M. J. Buehler
Designing de novo proteins beyond those found in nature holds significant promise for advancements in both scientific and engineering applications. Current methodologies for protei…