Robotics & Machine Learning Daily News2024,Issue(Jul.8) :98-99.

Investigators from University of Twente Target Machine Learning (Physics-informe d Machine Learning In Asymptotic Homogenization of Elliptic Equations)

Robotics & Machine Learning Daily News2024,Issue(Jul.8) :98-99.

Investigators from University of Twente Target Machine Learning (Physics-informe d Machine Learning In Asymptotic Homogenization of Elliptic Equations)

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Abstract

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.”

Key words

Enschede/Netherlands/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Twente

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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