Robotics & Machine Learning Daily News2024,Issue(Apr.10) :68-69.

Researchers from Lawrence Berkeley National Laboratory Describe Research in Mach ine Learning (Machine learning surrogates for surface complexation model of uran ium sorption to oxides)

Robotics & Machine Learning Daily News2024,Issue(Apr.10) :68-69.

Researchers from Lawrence Berkeley National Laboratory Describe Research in Mach ine Learning (Machine learning surrogates for surface complexation model of uran ium sorption to oxides)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting originating from the Lawrence Berkeley National Laboratory by NewsRx correspondents, researchstated, “The safety assessments of the geological storage of spent nuclear fuel require understanding theunderground radionuclide mobility in case of a leakage from m ulti-barrier canisters. Uranium, the mostcommon radionuclide in non-reprocessed spent nuclear fuels, is immobile in reduced form (U(IV) and highlymobile in an oxidized state (U(VI)).”

Key words

Lawrence Berkeley National Laboratory/A ctinoid Series Elements/Cyborgs/Emerging Technologies/Machine Learning/Urani um

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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