首页|Researchers from Skolkovo Institute for Science and Technology Describe Findings in Machine Learning (Mechanical Properties of Single and Polycrystalline Solids From Machine Learning)
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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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.”
MoscowRussiaCyborgsEmerging Techno logiesMachine LearningSkolkovo Institute for Science and Technology
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