首页|Studies from Indian Institute for Technology Reveal New Findings on Machine Lear ning (Machine Learning Assisted Screening of Mxene With Superior Anchoring Effec t In Al-s Batteries)
Studies from Indian Institute for Technology Reveal New Findings on Machine Lear ning (Machine Learning Assisted Screening of Mxene With Superior Anchoring Effec t In Al-s Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting originating in Indore , India, by NewsRx journalists, research stated, "Dissolution of polysulfide int ermediates into electrolytes has been a major bottleneck in the development of t he Al-S battery. MXenes can be promising anchoring materials, even though findin g the most suitable candidates from a vast search space in a short span of time is challenging." Financial supporters for this research include University Grants Commission, Ind ia, Science Engineering Research Board (SERB), India, Council of Scientific & Industrial Research (CSIR) - India, University Grants Commission, India. The news reporters obtained a quote from the research from Indian Institute for Technology, "Herein, a combined density functional theory and machine learning ( ML) approach has been implemented to predict suitable M1M2XT2-type MXene materia ls that can optimally anchor the polysulfide intermediates. By employing various ML algorithms, the trained XGBR model is found to exhibit remarkable precision in predicting the anchoring effect of MXenes. 42 promising candidates have been identified to show optimum anchoring across the Al-S intermediates. The F and O terminal groups are found to majorly exhibit the optimum anchoring effect toward the possible polysulfide intermediates." According to the news reporters, the research concluded: "This work provides cru cial insights into the development of next-generation Al-S batteries accelerated by the ML approach, contributing to the advancement of energy storage technolog ies."
IndoreIndiaAsiaCyborgsEmerging T echnologiesMachine LearningIndian Institute for Technology
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