首页|Reports Summarize Machine Learning Findings from DIFFER - Dutch Institute for Fu ndamental Energy Research (Computational and Machine Learning-assisted Discovery and Experimental Validation of Conjugated Sulfonamide Cathodes for Lithium-ion ...)
Reports Summarize Machine Learning Findings from DIFFER - Dutch Institute for Fu ndamental Energy Research (Computational and Machine Learning-assisted Discovery and Experimental Validation of Conjugated Sulfonamide Cathodes for Lithium-ion ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingout of Eindhoven, Netherlands, by NewsRx editors, research stated, “Conjugated sulfonamides (CSAs)stand out for t heir propitious electroactivity and notable stability in ambient conditions, mak ing themsuitable candidates for high-potential cathode materials in lithium-ion batteries (LIBs). This study employsa combination of machine learning, semi-em pirical quantum mechanics, and density functional theorymethods to evaluate a l arge library of 11 432 CSA molecules, focusing on material properties crucial for application in batteries, such as synthetic complexity, redox potential, gravi metric charge capacity, andenergy density.”
EindhovenNetherlandsEuropeCyborgsEmerging TechnologiesMachine LearningDIFFER - Dutch Institute for Fundament al Energy Research
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