31 citations · 52 across the 11 of their papers we have counts for
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cs.AI2023★ 3 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.CL2023★ 2 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…
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…