首页|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)
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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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)).”
Lawrence Berkeley National LaboratoryA ctinoid Series ElementsCyborgsEmerging TechnologiesMachine LearningUrani um
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