Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Lane E. Schultz"'
Autor:
Ryan Jacobs, Lane E Schultz, Aristana Scourtas, KJ Schmidt, Owen Price-Skelly, Will Engler, Ian Foster, Ben Blaiszik, Paul M Voyles, Dane Morgan
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 4, p 045051 (2024)
One compelling vision of the future of materials discovery and design involves the use of machine learning (ML) models to predict materials properties and then rapidly find materials tailored for specific applications. However, realizing this vision
Externí odkaz:
https://doaj.org/article/8dd31ac1a0fe4b92972448920f032228
Autor:
Benjamin T. Afflerbach, Carter Francis, Lane E. Schultz, Janine Spethson, Vanessa Meschke, Elliot Strand, Logan Ward, John H. Perepezko, Dan Thoma, Paul M. Voyles, Izabela Szlufarska, Dane Morgan
We use a random forest model to predict the critical cooling rate (RC) for glass formation of various alloys from features of their constituent elements. The random forest model was trained on a database that integrates multiple sources of direct and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ebd1e59a023709e6cbd57880afcf9ee
Autor:
Dane Morgan, Benjamin Afflerbach, Lane E. Schultz, Carter Francis, Paul M. Voyles, Izabela Szlufarska
author Various combinations of characteristic temperatures, such as the glass transition temperature, liquidus temperature, and crystallization temperature, have been proposed as predictions of the glass forming ability of metal alloys. We have used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c959a6e96df4d151a4aa0366b9beeed
Autor:
G.B. Bokas, Dane Morgan, Y. Shen, John H. Perepezko, L. Zhao, M. Gao, Lane E. Schultz, Izabela Szlufarska, Jianqi Xi
The icosahedral-like polyhedral fraction (ICO-like fraction) has been studied as a criterion for predicting the glass-forming ability of bulk ternary metallic glasses, Al90Sm8X2 (X = Al (binary), Cu, Ag, Au), using ab initio molecular dynamics (AIMD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9a90c280684e8a02c4f22a4e6e63473
Publikováno v:
Computational Materials Science. 201:110877
We explore the use of characteristic temperatures derived from molecular dynamics to predict aspects of metallic Glass Forming Ability (GFA). Temperatures derived from cooling curves of self-diffusion, viscosity, and energy were used as features for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ead99c31308098e9274baa463047153
https://doi.org/10.1016/j.commatsci.2021.110877
https://doi.org/10.1016/j.commatsci.2021.110877
Autor:
Lane E. Schultz, Dane Morgan, John H. Perepezko, Benjamin Afflerbach, Izabela Szlufarska, Paul M. Voyles
Publikováno v:
Computational Materials Science. 199:110728
We have developed models of metallic alloy glass forming ability based on newly computationally accessible features obtained from molecular dynamics simulations. Since the discovery of metallic glasses, there have been efforts to predict glass formin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4170f26c3da8108fb4a4c60212a13ff
https://doi.org/10.1016/j.commatsci.2021.110728
https://doi.org/10.1016/j.commatsci.2021.110728
Autor:
Lane E. Schultz, James Schneider, Thomas J. Cogger, Ryan Good, William Nollet, Robert Rothschild
Publikováno v:
2018 Aerodynamic Measurement Technology and Ground Testing Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12191ebf070a577005db0be6c107fdb3
https://doi.org/10.2514/6.2018-3737
https://doi.org/10.2514/6.2018-3737
Publikováno v:
OCEANS 2016 MTS/IEEE Monterey.
The 2015 Gold King Mine spill exposed the Animas River (located in Durango, Colorado) to over 3 million gallons of toxic water with spiked levels of arsenic and lead among other metals. In response to public concern for the quality of the river's wat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b53d6f14f3980b179a4bb04168e92d77
https://doi.org/10.1109/oceans.2016.7761392
https://doi.org/10.1109/oceans.2016.7761392