Robotics & Machine Learning Daily News2024,Issue(Nov.4) :110-111.

Findings from Lawrence Livermore National Laboratory Provide New Insights into M achine Learning (Machine-learning-assisted Deciphering of Microstructural Effect s On Ionic Transport In Composite Materials: a Case Study of ...)

Robotics & Machine Learning Daily News2024,Issue(Nov.4) :110-111.

Findings from Lawrence Livermore National Laboratory Provide New Insights into M achine Learning (Machine-learning-assisted Deciphering of Microstructural Effect s On Ionic Transport In Composite Materials: a Case Study of ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from Livermore, California, b y NewsRx journalists, research stated, “The effective diffusivity of ionic speci es in multiphase materials is critical for the design and function of composite materials for electrochemical energy storage. In practice, effective diffusivity depends sensitively not only on the intrinsic diffusivities of constituting mat erials but also on their topological arrangement; nevertheless, these coupled co ntributions are oversimplified in most analytical models.”

Key words

Livermore/California/United States/No rth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Lawre nce Livermore National Laboratory

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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