Robotics & Machine Learning Daily News2024,Issue(Nov.5) :16-17.

New Findings from Technical University Munich (TU Munich)Describe Advances in M achine Learning (A Parameterized Physicsinformed Machine Learning Approach for Solving Heat and Mass Transfer Equations In the Drying Process)

Robotics & Machine Learning Daily News2024,Issue(Nov.5) :16-17.

New Findings from Technical University Munich (TU Munich)Describe Advances in M achine Learning (A Parameterized Physicsinformed Machine Learning Approach for Solving Heat and Mass Transfer Equations In the Drying Process)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news reporting originating from Munich, Germany, by NewsRx correspondents, research stated, “This paper introduces a novel applicat ion for surrogate modeling in the context of coupled heat and mass transfer duri ng drying using physics-informed neural networks (PINNs).The Luikov model is im plemented within the PINNs model to simulate heat and mass transfer dynamics.”

Key words

Munich/Germany/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/Technical University Munich (TU Munich)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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