A combination optimisation method for the estimation of material parameters for viscoelastic solids. - Zhiwei Cui; L. Catherine Brinson (Int. J. Comput. Sci. Math., 2014)

An Ontology for a Polymer Nanocomposite Community Data Resource. - Vipula Rawte; Jamie P. McCusker; He Zhao; L. Catherine Brinson; Wei Chen 041; Linda Schadler; Deborah L. McGuinness (WebSci, 2017)

A Transfer Learning Approach for Microstructure Reconstruction and Structure-property Predictions. - Xiaolin Li; Yichi Zhang; He Zhao; Craig Burkhart; L. Catherine Brinson; Wei Chen (CoRR, 2018)

Data-Centric Mixed-Variable Bayesian Optimization For Materials Design. - Akshay Iyer; Yichi Zhang; Aditya Prasad; Siyu Tao 003; Yixing Wang; Linda Schadler; L. Catherine Brinson; Wei Chen 041 (CoRR, 2019)

NanoMine: A Knowledge Graph for Nanocomposite Materials Science. - Jamie P. McCusker; Neha Keshan; Sabbir M. Rashid; Michael Deagen; L. Catherine Brinson; Deborah L. McGuinness (ISWC (2), 2020)

How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning. - Zhi Chen 009; Alexander C. Ogren; Chiara Daraio; L. Catherine Brinson; Cynthia Rudin (CoRR, 2021)

ChemProps: A RESTful API enabled database for composite polymer name standardization. - Bingyin Hu; Anqi Lin; L. Catherine Brinson (J. Cheminformatics, 2021)

2D elastodynamic metamaterials. - Alexander C. Ogren; Zhi Chen 009; L. Catherine Brinson; Mary Bastawrous; Cynthia Rudin; Chiara Daraio (UCI Machine Learning Repository, 2021)

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. - Eliu A. Huerta; Ben Blaiszik; L. Catherine Brinson; Kristofer E. Bouchard; Daniel Diaz 003; Caterina Doglioni; Javier M. Duarte; Murali Emani; Ian T. Foster; Geoffrey C. Fox; Philip C. Harris; Lukas Heinrich; et al. (CoRR, 2022)

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; Shruti Badhwar; Joshua D. Bocarsly; Andres M. Bran; Stefan Bringuier; L. Catherine Brinson; Kamal Choudhary; Defne Circi; Sam Cox; Wibe A. de Jong; et al. (CoRR, 2023)

Uncertainty Quantification of Bandgaps in Acoustic Metamaterials with Stochastic Geometric Defects and Material Properties. - Han Zhang; Rayehe Karimi Mahabadi; Cynthia Rudin; Johann Guilleminot; L. Catherine Brinson (CoRR, 2023)

Extracting Polymer Nanocomposite Samples from Full-Length Documents. - Ghazal Khalighinejad; Defne Circi; L. Catherine Brinson; Bhuwan Dhingra (ACL (Findings), 2024)

Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning. - Mary Bastawrous; Zhi Chen 009; Alexander C. Ogren; Chiara Daraio; Cynthia Rudin; L. Catherine Brinson (CoRR, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images. - Kungang Zhang; Daniel W. Apley; Wei Chen 041; Wing K. Liu; L. Catherine Brinson (CoRR, 2025)

34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery. - Yoel Zimmermann; Adib Bazgir; Alexander Al-Feghali; Mehrad Ansari; Joshua D. Bocarsly; L. Catherine Brinson; Yuan Chiang; Defne Circi; Min-Hsueh Chiu; Nathan Daelman; Matthew L. Evans; Abhijeet Sadashiv Gangan; et al. (CoRR, 2025)