L. Catherine Brinson

According to our database, L. Catherine Brinson authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Phononic materials with effectively scale-separated hierarchical features using interpretable machine learning.

Mary Bastawrous, Zhi Chen, Alexander C. Ogren, Chiara Daraio, Cynthia Rudin, L. Catherine Brinson

CoRR, 2024

Extracting Polymer Nanocomposite Samples from Full-Length Documents.

Ghazal Khalighinejad, Defne Circi, L. Catherine Brinson, Bhuwan Dhingra

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

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, Matthew L. Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Rankovic, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Heck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T. Foster, Andrew D. White, Ben Blaiszik

CoRR, 2023

2022

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, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu

CoRR, 2022

2021

2D elastodynamic metamaterials.

Alexander C. Ogren, Zhi Chen, L. Catherine Brinson, Mary Bastawrous, Cynthia Rudin, Chiara Daraio

Dataset, November, 2021

ChemProps: A RESTful API enabled database for composite polymer name standardization.

Bingyin Hu, Anqi Lin, L. Catherine Brinson

J. Cheminformatics, 2021

How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning.

Zhi Chen, Alexander C. Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin

CoRR, 2021

2020

NanoMine: A Knowledge Graph for Nanocomposite Materials Science.

Jamie P. McCusker, Neha Keshan, Sabbir M. Rashid, Michael Deagen, L. Catherine Brinson, Deborah L. McGuinness

Proceedings of the Semantic Web - ISWC 2020, 2020

2019

Data-Centric Mixed-Variable Bayesian Optimization For Materials Design.

Akshay Iyer, Yichi Zhang, Aditya Prasad, Siyu Tao, Yixing Wang, Linda Schadler, L. Catherine Brinson, Wei Chen

CoRR, 2019

2018

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

2017

An Ontology for a Polymer Nanocomposite Community Data Resource.

Vipula Rawte, Jamie P. McCusker, He Zhao, L. Catherine Brinson, Wei Chen, Linda Schadler, Deborah L. McGuinness

Proceedings of the 2017 ACM on Web Science Conference, 2017

2014

A combination optimisation method for the estimation of material parameters for viscoelastic solids.

Zhiwei Cui, L. Catherine Brinson

Int. J. Comput. Sci. Math., 2014