首页|Study Findings on Machine Learning Are Outlined in Reports from Lawrence Livermo re National Laboratory (Machine Learning Demonstrates the Impact of Proton Trans fer and Solvent Dynamics On Co2 Capture In Liquid Ammonia)
Study Findings on Machine Learning Are Outlined in Reports from Lawrence Livermo re National Laboratory (Machine Learning Demonstrates the Impact of Proton Trans fer and Solvent Dynamics On Co2 Capture In Liquid Ammonia)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Livermore, California, by NewsRx journalists, research stated, “Direct air capture of CO2using suppor ted amines provides a promising means to achieve the net-zero greenhouse gas emi ssionsgoal; however, many mechanistic details regarding the CO2 adsorption proc ess in condensed phase aminesremain poorly understood. This work combines machi ne learning potentials, enhanced sampling and grandcanonicalMonte Carlo simula tions to directly compute experimentally relevant quantities to elucidate theme chanism of CO2 chemisorption in liquid ammonia as a model system.”
LivermoreCaliforniaUnited StatesNo rth and Central AmericaAminesAmmoniaCyborgsEmerging TechnologiesMachin e LearningNitrogen CompoundsOrganic ChemicalsLawrence Livermore National L aboratory
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