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pro vyhledávání: '"and Brinson, L."'
Autor:
Bastawrous, Mary V., Chen, Zhi, Ogren, Alexander C., Daraio, Chiara, Rudin, Cynthia, Brinson, L. Catherine
Manipulating the dispersive characteristics of vibrational waves is beneficial for many applications, e.g., high-precision instruments. architected hierarchical phononic materials have sparked promise tunability of elastodynamic waves and vibrations
Externí odkaz:
http://arxiv.org/abs/2408.08428
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 challenge lies in the complex nature of PNC samples, which have numer
Externí odkaz:
http://arxiv.org/abs/2403.00260
Autor:
Zhang, Han, Mahabadi, Rayehe Karimi, Rudin, Cynthia, Guilleminot, Johann, Brinson, L. Catherine
This paper studies the utility of techniques within uncertainty quantification, namely spectral projection and polynomial chaos expansion, in reducing sampling needs for characterizing acoustic metamaterial dispersion band responses given stochastic
Externí odkaz:
http://arxiv.org/abs/2310.12869
Autor:
Jablonka, Kevin Maik, Ai, Qianxiang, Al-Feghali, Alexander, Badhwar, Shruti, Bocarsly, Joshua D., Bran, Andres M, Bringuier, Stefan, Brinson, L. Catherine, Choudhary, Kamal, Circi, Defne, Cox, Sam, de Jong, Wibe A., Evans, Matthew L., Gastellu, Nicolas, Genzling, Jerome, Gil, María Victoria, Gupta, Ankur K., Hong, Zhi, Imran, Alishba, Kruschwitz, Sabine, Labarre, Anne, Lála, Jakub, Liu, Tao, Ma, Steven, Majumdar, Sauradeep, Merz, Garrett W., Moitessier, Nicolas, Moubarak, Elias, Mouriño, Beatriz, Pelkie, Brenden, Pieler, Michael, Ramos, Mayk Caldas, Ranković, Bojana, Rodriques, Samuel G., Sanders, Jacob N., Schwaller, Philippe, Schwarting, Marcus, Shi, Jiale, Smit, Berend, Smith, Ben E., Van Herck, Joren, Völker, Christoph, Ward, Logan, Warren, Sean, Weiser, Benjamin, Zhang, Sylvester, Zhang, Xiaoqi, Zia, Ghezal Ahmad, Scourtas, Aristana, Schmidt, KJ, Foster, Ian, White, Andrew D., Blaiszik, Ben
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 explore these possibilities, we organized a hackathon. This article c
Externí odkaz:
http://arxiv.org/abs/2306.06283
Autor:
Huerta, E. A., Blaiszik, Ben, Brinson, L. Catherine, Bouchard, Kristofer E., Diaz, Daniel, Doglioni, Caterina, Duarte, Javier M., Emani, Murali, Foster, Ian, Fox, Geoffrey, Harris, Philip, Heinrich, Lukas, Jha, Shantenu, Katz, Daniel S., Kindratenko, Volodymyr, Kirkpatrick, Christine R., Lassila-Perini, Kati, Madduri, Ravi K., Neubauer, Mark S., Psomopoulos, Fotis E., Roy, Avik, Rübel, Oliver, Zhao, Zhizhen, Zhu, Ruike
Publikováno v:
Scientific Data 10, 487 (2023)
A foundational set of findable, accessible, interoperable, and reusable (FAIR) principles were proposed in 2016 as prerequisites for proper data management and stewardship, with the goal of enabling the reusability of scholarly data. The principles w
Externí odkaz:
http://arxiv.org/abs/2210.08973
Machine learning models can assist with metamaterials design by approximating computationally expensive simulators or solving inverse design problems. However, past work has usually relied on black box deep neural networks, whose reasoning processes
Externí odkaz:
http://arxiv.org/abs/2111.05949
Autor:
Zhang, Han, Mahabadi, Rayehe Karimi, Rudin, Cynthia, Guilleminot, Johann, Brinson, L. Catherine
Publikováno v:
In Computers and Structures 1 December 2024 305
Akademický článek
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Autor:
Iyer, Akshay, Zhang, Yichi, Prasad, Aditya, Tao, Siyu, Wang, Yixing, Schadler, Linda, Brinson, L Catherine, Chen, Wei
Materials design can be cast as an optimization problem with the goal of achieving desired properties, by varying material composition, microstructure morphology, and processing conditions. Existence of both qualitative and quantitative material desi
Externí odkaz:
http://arxiv.org/abs/1907.02577
Autor:
Li, Xiaolin, Zhang, Min, Wang, Yixing, Prasad, Aditya, Chen, Wei, Schadler, Linda, Brinson, L. Catherine
Numerical modeling of viscoelastic properties is critical to developing the structure-property relationship of polymer nanocomposites. While it is recognized that the altered polymer region near filler particles, the interphase, significantly contrib
Externí odkaz:
http://arxiv.org/abs/1811.06238