activity
20162024
most cited14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

214 citations · 264 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL20243 cited

Extracting Polymer Nanocomposite Samples from Full-Length Documents

Ghazal Khalighinejad, Defne Circi, L. C. Brinson +1

This paper investigates the use of large language models (LLMs) for extracting sample lists of polymer nanocomposites (PNCs) from full-length materials science research papers. The…

cs.SD20231 cited

Uncertainty Quantification of Bandgaps in Acoustic Metamaterials with Stochastic Geometric Defects and Material Properties

Han Zhang, Rayehe Karimi Mahabadi, Cynthia Rudin +2

This paper studies the utility of techniques within uncertainty quantification, namely spectral projection and polynomial chaos expansion, in reducing sampling needs for characteri…

cond-mat.mtrl-sci2023214 cited

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50

Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To…

cond-mat.mtrl-sci201646 cited

Influences of Granular Constraints and Surface Effects on the Heterogeneity of Elastic, Superelastic, and Plastic Responses of Polycrystalline Shape Memory Alloys

Harshad M. Paranjape, Partha P. Paul, Hemant Sharma +5

Deformation heterogeneities within microstructures of polycrystalline shape memory alloys (SMAs) during superelastic stressing are studied using both experiments and simulations. I…