Robotics & Machine Learning Daily News2024,Issue(Apr.12) :46-46.

Researchers from Skolkovo Institute for Science and Technology Describe Findings in Machine Learning (Mechanical Properties of Single and Polycrystalline Solids From Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Apr.12) :46-46.

Researchers from Skolkovo Institute for Science and Technology Describe Findings in Machine Learning (Mechanical Properties of Single and Polycrystalline Solids From Machine Learning)

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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 Moscow, Russ ia, by NewsRx journalists, research stated, “Calculating the elasticand mechani cal characteristics of non-crystalline solids can be challenging due to the high computationalcost of ab initio methods and the low accuracy of empirical poten tials. This paper proposes a computationaltechnique for efficient calculations of mechanical properties of polycrystals, composites, and multi-phasesystems fr om atomistic simulations with high accuracy and reasonable computational cost.”

Key words

Moscow/Russia/Cyborgs/Emerging Techno logies/Machine Learning/Skolkovo Institute for Science and Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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