首页|Investigators from University of Twente Target Machine Learning (Physics-informe d Machine Learning In Asymptotic Homogenization of Elliptic Equations)
Investigators from University of Twente Target Machine Learning (Physics-informe d Machine Learning In Asymptotic Homogenization of Elliptic Equations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting out of Enschede, Neth erlands, by NewsRx editors, research stated, “We apply physics-informed neural networks (PINNs) to first -order, two -scale, periodic asymptotic homogenization of theproperty tensor in a generic elliptic equation. The problem of lack of d ifferentiability of property tensorsat the sharp phase interfaces is circumvent ed by making use of a diffuse interface approach.”
EnschedeNetherlandsEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Twente
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