首页|Data on Machine Learning Detailed by Researchers at University of Michigan (Brid ging Scales With Machine Learning: From First Principles Statistical Mechanics T o Continuum Phase Field Computations To Study Order-disorder Transitions In Li X Coo ...)
Data on Machine Learning Detailed by Researchers at University of Michigan (Brid ging Scales With Machine Learning: From First Principles Statistical Mechanics T o Continuum Phase Field Computations To Study Order-disorder Transitions In Li X Coo ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Ann Arbor,Michigan, by NewsRx editors, resea rch stated, “Li x TM O 2 (TM=Ni, Co, Mn) forms an importantfamily of cathode ma terials for Li -ion batteries, whose performance is strongly governed by Li composition -dependent crystal structure and phase stability. Here, we use Li x CoO 2 (LCO) as a model systemto benchmark a machine learning -enabled framework for bridging scales in materials physics.”
Ann ArborMichiganUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningPhysicsStatistical MechanicsUniversity of Michigan
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