Publications

Karimi Mahabadi, R., Z. Chen, A. C. Ogren, H. Zhang, C. Daraio, C. Rudin, and L. C. Brinson. “Graph-based design of irregular metamaterials (Accepted).” International Journal of Mechanical Sciences 295 (June 1, 2025). https://doi.org/10.1016/j.ijmecsci.2025.110203.

Bastawrous, M. V., Z. Chen, A. C. Ogren, C. Daraio, C. Rudin, and L. C. Brinson. “A multiscale design method using interpretable machine learning for phononic materials with closely interacting scales.” Computer Methods in Applied Mechanics and Engineering 440 (May 15, 2025). https://doi.org/10.1016/j.cma.2025.117833.

Saito, I., R. J. Sheridan, S. Zauscher, and L. C. Brinson. “Pushing AFM to the Boundaries: Interphase Mechanical Property Measurements near a Rigid Body.” Macromolecules 58, no. 2 (January 28, 2025): 980–88. https://doi.org/10.1021/acs.macromol.4c01993.

Taillon, J. A., E. S. Barnard, L. M. Bartolo, M. K. Y. Chan, E. A. Stach, M. L. Taheri, L. C. Brinson, and P. W. Voorhees. “MaRDA FAIR materials microscopy and LIMS data working groups’ community recommendations.” MRS Bulletin, January 1, 2025. https://doi.org/10.1557/s43577-025-00882-2.

Zhang, H., R. K. Mahabadi, C. Rudin, J. Guilleminot, and L. C. Brinson. “Uncertainty quantification of acoustic metamaterial bandgaps with stochastic material properties and geometric defects.” Computers and Structures 305 (December 1, 2024). https://doi.org/10.1016/j.compstruc.2024.107511.

Sheridan, Richard J., Stefan Zauscher, and L Catherine Brinson. “BOTTS: broadband optimized time-temperature superposition for vastly accelerated viscoelastic data acquisition.” Soft Matter 20, no. 39 (October 2024): 7811–20. https://doi.org/10.1039/d4sm00798k.

Hu, B., A. Lin, and L. C. Brinson. “Tackling Structured Knowledge Extraction from Polymer Nanocomposite Literature as an NER/RE Task with seq2seq.” Integrating Materials and Manufacturing Innovation 13, no. 3 (September 1, 2024): 656–68. https://doi.org/10.1007/s40192-024-00363-5.

Circi, D., G. Khalighinejad, A. Chen, B. Dhingra, and L. C. Brinson. “How Well Do Large Language Models Understand Tables in Materials Science?” Integrating Materials and Manufacturing Innovation 13, no. 3 (September 1, 2024): 669–87. https://doi.org/10.1007/s40192-024-00362-6.

Slates, Angela M., Shana L McAlexander, Jennifer Nolan, Juan de Pablo, Junhong Chen, Harley T. Johnson, and L Catherine Brinson. “Partnerships and collaboration drive innovative graduate training in materials informatics.” Science Advances 10, no. 18 (May 2024): eadp7446. https://doi.org/10.1126/sciadv.adp7446.

Brinson, L Catherine, Laura M. Bartolo, Ben Blaiszik, David Elbert, Ian Foster, Alejandro Strachan, and Peter W. Voorhees. “Community action on FAIR data will fuel a revolution in materials research.” MRS Bulletin 49, no. 1 (January 2024): 12–16. https://doi.org/10.1557/s43577-023-00498-4.

Jablonka, Kevin Maik, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, et al. “14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon.” Digital Discovery 2, no. 5 (October 2023): 1233–50. https://doi.org/10.1039/d3dd00113j.

Prabhune, Prajakta, Yigitcan Comlek, Abhishek Shandilya, Ravishankar Sundararaman, Linda S. Schadler, Lynda Catherine Brinson, and Wei Chen. “Design of Polymer Nanodielectrics for Capacitive Energy Storage.” Nanomaterials (Basel, Switzerland) 13, no. 17 (August 2023): 2394. https://doi.org/10.3390/nano13172394.

Peloquin, Jacob, Alina Kirillova, Elizabeth Mathey, Cynthia Rudin, L Catherine Brinson, and Ken Gall. “Tensile performance data of 3D printed photopolymer gyroid lattices.” Data in Brief 49 (August 2023): 109396. https://doi.org/10.1016/j.dib.2023.109396.

Peloquin, J., A. Kirillova, C. Rudin, L. C. Brinson, and K. Gall. “Prediction of tensile performance for 3D printed photopolymer gyroid lattices using structural porosity, base material properties, and machine learning.” Materials and Design 232 (August 1, 2023). https://doi.org/10.1016/j.matdes.2023.112126.

McDonald, Samantha M., Emily K. Augustine, Quinn Lanners, Cynthia Rudin, L. Catherine Brinson, and Matthew L. Becker. “Applied machine learning as a driver for polymeric biomaterials design.” Nature Communications 14, no. 1 (August 2023): 4838. https://doi.org/10.1038/s41467-023-40459-8.

Huerta, E. A., Ben Blaiszik, L Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, et al. “FAIR for AI: An interdisciplinary and international community building perspective.” Scientific Data 10, no. 1 (July 2023): 487. https://doi.org/10.1038/s41597-023-02298-6.

Ma, Boran, Nicholas J. Finan, David Jany, Michael E. Deagen, Linda S. Schadler, and L Catherine Brinson. “Machine-Learning-Assisted Understanding of Polymer Nanocomposites Composition-Property Relationship: A Case Study of NanoMine Database.” Macromolecules 56, no. 11 (June 2023): 3945–53. https://doi.org/10.1021/acs.macromol.2c02249.

Burkhart, C., B. Jiang, G. Papakonstantopoulos, P. Polinska, H. Xu, R. J. Sheridan, L. C. Brinson, and W. Chen. “Data-Driven Multiscale Science for Tread Compounding.” Tire Science and Technology 51, no. 2 (April 1, 2023): 114–31. https://doi.org/10.2346/tire.22.21003.

Nepal, Dhriti, Saewon Kang, Katarina M. Adstedt, Krishan Kanhaiya, Michael R. Bockstaller, L Catherine Brinson, Markus J. Buehler, et al. “Hierarchically structured bioinspired nanocomposites.” Nature Materials 22, no. 1 (January 2023): 18–35. https://doi.org/10.1038/s41563-022-01384-1.

Chen, Z., A. Ogren, C. Daraio, L. C. Brinson, and C. Rudin. “How to see hidden patterns in metamaterials with interpretable machine learning.” Extreme Mechanics Letters 57 (November 1, 2022). https://doi.org/10.1016/j.eml.2022.101895.

Huerta, E. A., Ben Blaiszik, L Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, et al. “FAIR for AI: An interdisciplinary and international community building perspective,” September 30, 2022.

Deagen, Michael E., Jamie P. McCusker, Tolulomo Fateye, Samuel Stouffer, L Cate Brinson, Deborah L. McGuinness, and Linda S. Schadler. “FAIR and Interactive Data Graphics from a Scientific Knowledge Graph.” Scientific Data 9, no. 1 (May 2022): 239. https://doi.org/10.1038/s41597-022-01352-z.

Brinson, L. C., L. M. Bartolo, B. Blaiszik, D. Elbert, I. Foster, A. Strachan, and P. W. Voorhees. “Community Action on FAIR Data will Fuel a Revolution in Materials Research,” April 6, 2022.

Collinson, D. W., N. von Windheim, K. Gall, and L. C. Brinson. “Direct evidence of interfacial crystallization preventing weld formation during fused filament fabrication of poly(ether ether ketone).” Additive Manufacturing 51 (March 1, 2022). https://doi.org/10.1016/j.addma.2022.102604.

Schadler, L. S., W. Chen, L. C. Brinson, R. Sundararaman, P. Prabhune, and A. Iyer. “Combining Machine Learning, DFT, EFM, and Modeling to Design Nanodielectric Behavior.” In ECS Transactions, 108:51–60, 2022. https://doi.org/10.1149/10802.0051ecst.