Robotics & Machine Learning Daily News2024,Issue(MAY.7) :111-112.

Findings on Machine Learning Discussed by Investigators at National Energy Techn ology Laboratory (High-throughput Ab Initio Calculations and Machine Learning To Discover Srfeo3-6-based Perovskites for Chemical-looping Applications)

Robotics & Machine Learning Daily News2024,Issue(MAY.7) :111-112.

Findings on Machine Learning Discussed by Investigators at National Energy Techn ology Laboratory (High-throughput Ab Initio Calculations and Machine Learning To Discover Srfeo3-6-based Perovskites for Chemical-looping Applications)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Pittsburgh, P ennsylvania, by NewsRx journalists, research stated, “Design of highperformance oxygen carrier materials plays a crucial role in chemical -looping applications . Perovskite-type ABO3 oxides have received significant attention due to their h igh thermal and mechanical stability and high oxygen mobility.” Financial supporters for this research include United States Department of Energ y (DOE), National Energy Technology Laboratory (NETL) Research & I nnovation Center’s Advanced Reaction Systems, NETL Advanced Reaction Systems fie ld work proposal (FWP).

Key words

Pittsburgh/Pennsylvania/United States/North and Central America/Chalcogens/Cyborgs/Emerging Technologies/Machine Learning/National Energy Technology Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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