Robotics & Machine Learning Daily News2024,Issue(MAY.1) :43-43.

Researchers from Samara State Technical University Describe Findings in Machine Learning (Machine Learning As a Tool To Accelerate the Search for New Materials for Metal-ion Batteries)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :43-43.

Researchers from Samara State Technical University Describe Findings in Machine Learning (Machine Learning As a Tool To Accelerate the Search for New Materials for Metal-ion Batteries)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Samara, Russ ia, by NewsRx journalists, research stated, “The search for new solidionic cond uctors is an important topic of material science that requires significant resou rces, but can beaccelerated using machine learning (ML) techniques. In this wor k, ML methods were applied to predictthe migration energy of working ions.”

Key words

Samara/Russia/Cyborgs/Emerging Techno logies/Machine Learning/Samara State Technical University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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