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pro vyhledávání: '"LYNCH, Matthew"'
Autor:
Lynch, Matthew J., Jacobs, Ryan, Bruno, Gabriella, Patki, Priyam, Morgan, Dane, Field, Kevin G.
The integration of machine learning (ML) models enhances the efficiency, affordability, and reliability of feature detection in microscopy, yet their development and applicability are hindered by the dependency on scarce and often flawed manually lab
Externí odkaz:
http://arxiv.org/abs/2408.01558
Accurately quantifying swelling of alloys that have undergone irradiation is essential for understanding alloy performance in a nuclear reactor and critical for the safe and reliable operation of reactor facilities. However, typical practice is for r
Externí odkaz:
http://arxiv.org/abs/2208.01460
Autor:
Lynch, Matthew Earl
This thesis details research performed in modeling, simulation, and rational design of porous SOFC cathodes via development, extension, and use of the key tools to aid in the fundamental understanding and engineering design of cathode materials. Phen
Externí odkaz:
http://hdl.handle.net/1853/45852