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pro vyhledávání: '"Lee, Brian P"'
Machine learning has become a central technique for modeling in science and engineering, either complementing or as surrogates to physics-based models. Significant efforts have recently been devoted to models capable of predicting field quantities bu
Externí odkaz:
http://arxiv.org/abs/2412.03764
Active learning (AL) is a powerful sequential optimization approach that has shown great promise in the discovery of new materials. However, a major challenge remains the acquisition of the initial data and the development of workflows to generate ne
Externí odkaz:
http://arxiv.org/abs/2411.13689
Two-dimensional (2D) transition metal dichalcogenides (TMDs) have recently been shown to demonstrate non-volatile resistive switching (NVRS), offering significant advantages such as high-density integration and low energy consumption due to their ato
Externí odkaz:
http://arxiv.org/abs/2410.07469
Autor:
Appleton, Robert J., Klinger, Daniel, Lee, Brian H., Taylor, Michael, Kim, Sohee, Blankenship, Samuel, Barnes, Brian C., Son, Steven F., Strachan, Alejandro
Data science and artificial intelligence are playing an increasingly important role in the physical sciences. Unfortunately, in the field of energetic materials data scarcity limits the accuracy and even applicability of ML tools. To address data lim
Externí odkaz:
http://arxiv.org/abs/2408.14488
Autor:
Lee, Brian, Matni, Nikolai
We study the performance of risk-controlling prediction sets (RCPS), an empirical risk minimization-based formulation of conformal prediction, with a single trajectory of temporally correlated data from an unknown stochastic dynamical system. First,
Externí odkaz:
http://arxiv.org/abs/2406.01570
Condense phase molecular systems organize in wide range of distinct molecular configurations, including amorphous melt and glass as well as crystals often exhibiting polymorphism, that originate from their intricate intra- and intermolecular forces.
Externí odkaz:
http://arxiv.org/abs/2403.15266
Autor:
Lim, Jeffrey, Wang, Po T., Sohn, Wonjoon, Serrano-Amenos, Claudia, Ibrahim, Mina, Lin, Derrick, Thaploo, Shravan, Shaw, Susan J., Armacost, Michelle, Gong, Hui, Lee, Brian, Lee, Darrin, Andersen, Richard A., Heydari, Payam, Liu, Charles Y., Nenadic, Zoran, Do, An H.
Current treatments for paraplegia induced by spinal cord injury (SCI) are often limited by the severity of the injury. The accompanying loss of sensory and motor functions often results in reliance on wheelchairs, which in turn causes reduced quality
Externí odkaz:
http://arxiv.org/abs/2402.11776
Autor:
Lee, Brian H., Strachan, Alejandro
Data science and artificial intelligence have become an indispensable part of scientific research. While such methods rely on high-quality and large quantities of machine-readable scientific data, the current scientific data infrastructure faces sign
Externí odkaz:
http://arxiv.org/abs/2312.00902
Autor:
Seager, Sara, Petkowski, Janusz J., Seager, Maxwell D., Grimes Jr., John H., Zinsli, Zachary, Vollmer-Snarr, Heidi R., El-Rahman, Mohamed K. Abd, Wishart, David S., Lee, Brian L., Gautam, Vasuk, Herrington, Lauren, Bains, William, Darrow, Charles
Publikováno v:
PNAS, June 12, 2023, 120 (25) e2220007120
What constitutes a habitable planet is a frontier to be explored and requires pushing the boundaries of our terracentric viewpoint for what we deem to be a habitable environment. Despite Venus' 700 K surface temperature being too hot for any plausibl
Externí odkaz:
http://arxiv.org/abs/2306.17182
The response of materials to dynamical, or shock, loading is important to planetary science, aerospace engineering, and energetic materials. Thermal-activated processes, including chemical reactions and phase transitions, are significantly accelerate
Externí odkaz:
http://arxiv.org/abs/2303.17345