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Title | OSCon |
Description | Optimizing superconductor transport properties through large-scale simulation About Projects Publications Members History YouTube channel The SciDAC partn |
Keywords | magnitude, parameter, order, magnetic, surface, large-scale, superconductors, plot, lager, field, optimizing, project, critical, division, scidac, oscon, tools |
WebSite | oscon-scidac.org |
Host IP | 74.208.236.29 |
Location | United States |
Site | Rank |
US$509,008
Last updated: 2023-05-19 09:22:11
oscon-scidac.org has Semrush global rank of 20,794,020. oscon-scidac.org has an estimated worth of US$ 509,008, based on its estimated Ads revenue. oscon-scidac.org receives approximately 58,732 unique visitors each day. Its web server is located in United States, with IP address 74.208.236.29. According to SiteAdvisor, oscon-scidac.org is safe to visit. |
Purchase/Sale Value | US$509,008 |
Daily Ads Revenue | US$470 |
Monthly Ads Revenue | US$14,096 |
Yearly Ads Revenue | US$169,147 |
Daily Unique Visitors | 3,916 |
Note: All traffic and earnings values are estimates. |
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oscon-scidac.org. | MX | 3600 | MX Record: 10 mx01.1and1.com. |
oscon-scidac.org. | MX | 3600 | MX Record: 10 mx00.1and1.com. |
Optimizing superconductor transport properties through large-scale simulation About Projects Publications Members History YouTube channel The SciDAC partnership Optimizing superconductor transport properties through large-scale simulation (OSCon) was established in September 2012. The main objective of this project is to develop and apply novel methods for optimizing superconductors for energy applications using large-scale computational algorithms and tools. The resulting numerical tools will pave the way for a systematic method to design superconductors with high critical currents. So far the quest for optimal superconductors with respect to largest critical current was only conducted via the Edisonian process of laborious experimental trial and error. The overall project is carried out in collaboration with SciDAC Institutes using large-scale computation and leveraging DOE’s leadership-class computing facilities. Magnitude of the order parameter for a 2D system at different |
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