首页|Data on Machine Learning Described by Researchers at Harbin Institute of Technol ogy (Machine Learning Assisted Prediction In the Discharge Capacities of Novel M xene Cathodes for Aluminum Ion Batteries)
Data on Machine Learning Described by Researchers at Harbin Institute of Technol ogy (Machine Learning Assisted Prediction In the Discharge Capacities of Novel M xene Cathodes for Aluminum Ion Batteries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Shenzhen, People’s Republic of China, by NewsRx correspondents, research stated, “Conventionalexpe rimental methods are widely utilized to discover novel cathode materials for alu minum ionbatteries (AIB), but their high price and low-efficiency present extra challenges when dealing with the vastfamily of MXene materials. In order to vi gorously promote the application and development of MXenecathodes in aluminum i on batteries, a new accelerable method to predict the discharge capacities basedon machine learning is proposed.”
ShenzhenPeople’s Republic of ChinaAs iaAluminumCyborgsEmerging TechnologiesLight MetalsMachine LearningHa rbin Institute of Technology
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