Zobrazeno 1 - 10
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pro vyhledávání: '"Muckley, Eric"'
Autor:
Allec, Sarah I., Muckley, Eric S., Johnson, Nathan S., Borg, Christopher K. H., Kirsch, Dylan J., Martin, Joshua, Pant, Rohit, Takeuchi, Ichiro, Lee, Andrew S., Saal, James E., Ward, Logan, Mehta, Apurva
Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functional materials and acceleration of their design will require addressing
Externí odkaz:
http://arxiv.org/abs/2311.10205
Data-driven models are central to scientific discovery. In efforts to achieve state-of-the-art model accuracy, researchers are employing increasingly complex machine learning algorithms that often outperform simple regressions in interpolative settin
Externí odkaz:
http://arxiv.org/abs/2212.10283
Autor:
Kavalsky, Lance, Hegde, Vinay I., Muckley, Eric, Johnson, Matthew S., Meredig, Bryce, Viswanathan, Venkatasubramanian
The implementation of automation and machine learning surrogatization within closed-loop computational workflows is an increasingly popular approach to accelerate materials discovery. However, the scale of the speedup associated with this paradigm sh
Externí odkaz:
http://arxiv.org/abs/2211.10533
Autor:
Borg, Christopher K. H., Muckley, Eric S., Nyby, Clara, Saal, James E., Ward, Logan, Mehta, Apurva, Meredig, Bryce
The predictive capabilities of machine learning (ML) models used in materials discovery are typically measured using simple statistics such as the root-mean-square error (RMSE) or the coefficient of determination ($r^2$) between ML-predicted material
Externí odkaz:
http://arxiv.org/abs/2210.13587
Autor:
Annevelink, Emil, Kurchin, Rachel, Muckley, Eric, Kavalsky, Lance, Hegde, Vinay I., Sulzer, Valentin, Zhu, Shang, Pu, Jiankun, Farina, David, Johnson, Matthew, Gandhi, Dhairya, Dave, Adarsh, Lin, Hongyi, Edelman, Alan, Ramsundar, Bharath, Saal, James, Rackauckas, Christopher, Shah, Viral, Meredig, Bryce, Viswanathan, Venkatasubramanian
Large-scale electrification is vital to addressing the climate crisis, but several scientific and technological challenges remain to fully electrify both the chemical industry and transportation. In both of these areas, new electrochemical materials
Externí odkaz:
http://arxiv.org/abs/2011.04426
Akademický článek
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Akademický článek
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Autor:
Muckley, Eric S.
The power conversion efficiency of organic thin film solar cells must be improved before they can become commercially competitive alternatives to silicon-based photovoltaics. Exciton diffusion and charge carrier migration in organic films are strongl
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=1523341
Publikováno v:
In Electrochemistry Communications March 2021 124
Autor:
Muckley, Eric S.
Publikováno v:
Click here to view.
Thesis (B.S.)--California Polytechnic State University, 2009.
Project advisor: Katharina Gillen. Title from PDF title page; viewed on Jan. 14, 2010. Includes bibliographical references. Also available on microfiche.
Project advisor: Katharina Gillen. Title from PDF title page; viewed on Jan. 14, 2010. Includes bibliographical references. Also available on microfiche.
Externí odkaz:
http://digitalcommons.calpoly.edu/physsp/2