Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tam Mayeshiba"'
Autor:
Yu-chen Liu, Henry Wu, Tam Mayeshiba, Benjamin Afflerbach, Ryan Jacobs, Josh Perry, Jerit George, Josh Cordell, Jinyu Xia, Hao Yuan, Aren Lorenson, Haotian Wu, Matthew Parker, Fenil Doshi, Alexander Politowicz, Linda Xiao, Dane Morgan, Peter Wells, Nathan Almirall, Takuya Yamamoto, G. Robert Odette
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-11 (2022)
Abstract Irradiation increases the yield stress and embrittles light water reactor (LWR) pressure vessel steels. In this study, we demonstrate some of the potential benefits and risks of using machine learning models to predict irradiation hardening
Externí odkaz:
https://doaj.org/article/68cdcbbe70b94b6dbae6e0c0e68a3e20
Publikováno v:
New Journal of Physics, Vol 16, Iss 1, p 015018 (2014)
This work demonstrates how databases of diffusion-related properties can be developed from high-throughput ab initio calculations. The formation and migration energies for vacancies of all adequately stable pure elements in both the face-centered cub
Externí odkaz:
https://doaj.org/article/f3c0ee803c254cb4be3546f9e53bfb79
Autor:
Kimberly Howard, Jacob Diestelmann, Tsu-Lun Huang, Lauren Aneskavich, Kevin Cheng, Benjamin Crary, Jean DeMerit, Tam Mayeshiba, Amy Schiebel, Susan Hagness, Steven Cramer, Amy Wendt
Publikováno v:
2014 ASEE Annual Conference & Exposition Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d46049a1694d80f9430b9732c2801ae7
https://doi.org/10.18260/1-2--22838
https://doi.org/10.18260/1-2--22838
Autor:
Dane Morgan, Tam Mayeshiba
Publikováno v:
Solid State Ionics. 311:105-117
Oxygen vacancy formation energy is an important quantity for enabling fast oxygen diffusion and oxygen catalysis in technologies like solid oxide fuel cells. Both previous literature in various systems and our calculations in LaMnO3, La0.75Sr0.25MnO3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8a864d39012b1ae92026b76c98f65ad
https://doi.org/10.1016/j.ssi.2017.09.021
https://doi.org/10.1016/j.ssi.2017.09.021
Autor:
Dane Morgan, Wei Xie, Glen R. Jenness, Amy Kaczmarowski, Tam Mayeshiba, Thomas Angsten, Zhewen Song, Henry Wu
Publikováno v:
Computational Materials Science. 126:90-102
The MAterials Simulation Toolkit (MAST) is a workflow manager and post-processing tool for ab initio defect and diffusion workflows. MAST codifies research knowledge and best practices for such workflows, and allows for the generation and management
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97e6e4c646e400511b72b9abce7bc68c
https://doi.org/10.1016/j.commatsci.2016.09.018
https://doi.org/10.1016/j.commatsci.2016.09.018
Autor:
Zhongnan Xu, Dane Morgan, Paul M. Voyles, Min Yu, Tam Mayeshiba, Zhewen Song, Jason J. Maldonis
StructOpt, an open-source structure optimization suite, applies genetic algorithm and particle swarm methods to obtain atomic structures that minimize an objective function. The objective function typically consists of the energy and the error betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1350a53d7e5e2624b748bdc5b7892397
Autor:
Dane Morgan, Tam Mayeshiba
Publikováno v:
Solid State Ionics. 296:71-77
Perovskites with fast oxygen ion conduction can enable technologies like solid oxide fuel cells. One component of fast oxygen ion conduction is low oxygen migration barrier. Here we apply ab initio methods on over 40 perovskites to produce a database
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39ed974cf86849d151d2b3b01d67e350
https://doi.org/10.1016/j.ssi.2016.09.007
https://doi.org/10.1016/j.ssi.2016.09.007
Autor:
Ben Afflerbach, Ryan Jacobs, Luke Harold Miles, Matthew Turner, Dane Morgan, Tam Mayeshiba, Max Williams, Raphael A. Finkel
Publikováno v:
Computational Materials Science. 176:109544
As data science and machine learning methods are taking on an increasingly important role in the materials research community, there is a need for the development of machine learning software tools that are easy to use (even for nonexperts with no pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bfb4d536978152f2df69fe7c83c598
https://doi.org/10.1016/j.commatsci.2020.109544
https://doi.org/10.1016/j.commatsci.2020.109544
Publikováno v:
Scientific Data
We demonstrate automated generation of diffusion databases from high-throughput density functional theory (DFT) calculations. A total of more than 230 dilute solute diffusion systems in Mg, Al, Cu, Ni, Pd, and Pt host lattices have been determined us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd10e918b4ee29f2529c4192401b2e0b
http://europepmc.org/articles/PMC4950524
http://europepmc.org/articles/PMC4950524
Autor:
Dane Morgan, Tam Mayeshiba
Fast oxygen transport materials are necessary for a range of technologies, including efficient and cost-effective solid oxide fuel cells, gas separation membranes, oxygen sensors, chemical looping devices, and memristors. Strain is often proposed as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1717e18905ad02529ab62e0da8eddb1a