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of 3
pro vyhledávání: '"Xu, Wenle"'
Autor:
Mulukutla, Mrinalini, Person, A. Nicole, Voigt, Sven, Kuettner, Lindsey, Kappes, Branden, Khatamsaz, Danial, Robinson, Robert, Salas, Daniel, Xu, Wenle, Lewis, Daniel, Eoh, Hongkyu, Xiao, Kailu, Wang, Haoren, Saini, Jaskaran Singh, Mahat, Raj, Hastings, Trevor, Skokan, Matthew, Attari, Vahid, Elverud, Michael, Paramore, James D., Butler, Brady, Vecchio, Kenneth, Kalidindi, Surya R., Allaire, Douglas, Karaman, Ibrahim, Thomas, Edwin L., Pharr, George, Srivastava, Ankit, Arróyave, Raymundo
Algorithmic materials discovery is a multi-disciplinary domain that integrates insights from specialists in alloy design, synthesis, characterization, experimental methodologies, computational modeling, and optimization. Central to this effort is a r
Externí odkaz:
http://arxiv.org/abs/2405.13132
Autor:
Hastings, Trevor, Mulukutla, Mrinalini, Khatamsaz, Danial, Salas, Daniel, Xu, Wenle, Lewis, Daniel, Person, Nicole, Skokan, Matthew, Miller, Braden, Paramore, James, Butler, Brady, Allaire, Douglas, Karaman, Ibrahim, Pharr, George, Srivastava, Ankit, Arroyave, Raymundo
In this study, we introduce a groundbreaking framework for materials discovery, we efficiently navigate a vast phase space of material compositions by leveraging Batch Bayesian statistics in order to achieve specific performance objectives. This appr
Externí odkaz:
http://arxiv.org/abs/2405.08900
Publikováno v:
In Computer Aided Chemical Engineering 2024 53:3001-3006