most citedMechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities

7 citations · 21 across the 8 of their papers we have counts for

collaborators

8 papers

cond-mat.soft20241 cited

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…

cs.AI20233 cited

MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

Bo Ni, Markus J. Buehler

Solving mechanics problems using numerical methods requires comprehensive intelligent capability of retrieving relevant knowledge and theory, constructing and executing codes, anal…

cs.CL20232 cited

Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design

Markus J. Buehler

Transformer neural networks show promising capabilities, in particular for uses in materials analysis, design and manufacturing, including their capacity to work effectively with b…

cs.CL20237 cited

MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities

Markus J. Buehler

For centuries, researchers have sought out ways to connect disparate areas of knowledge. While early scholars (Galileo, da Vinci, etc.) were experts across fields, specialization h…

cond-mat.soft2023

Crosslinker energy landscape effects on dynamic mechanical properties of ideal polymer hydrogels

Eesha Khare, Amadeus Alcantara, Nic Lee +2

Reversible crosslinkers can enable several desirable mechanical properties, such as improved toughness and self-healing, when incorporated in polymer networks for bioengineering an…

cond-mat.mtrl-sci20232 cited

Generative modeling, design and analysis of spider silk protein sequences for enhanced mechanical properties

Wei Lu, David L. Kaplan, Markus J. Buehler

Spider silks are remarkable materials characterized by superb mechanical properties such as strength, extensibility and lightweightedness. Yet, to date, limited models are availabl…