Toward mechanistic models “augmented” by machine learning. Example of a drying simulation data set exploited by a Physics Informed Neural Network

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Publication Details

Journal
Drying Technology
Published
2024-10-13
DOI
https://doi.org/10.1080/07373937.2024.2411582
Citations
5
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
1.06

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article

Toward mechanistic models “augmented” by machine learning. Example of a drying simulation data set exploited by a Physics Informed Neural Network

Patrick Perré
5 citations
Drying Technology
Metallurgical Processes and Thermodynamics
1.06
article

Toward mechanistic models “augmented” by machine learning. Example of a drying simulation data set exploited by a Physics Informed Neural Network

Patrick Perré
article en
5 citations

Abstract

No abstract available for this paper.
Drying TechnologyVol. 43(1-2)
Université Paris-Saclay (FR), CentraleSupélec (FR)
Conseil départemental de la Marne, European Commission, Conseil régional du Grand Est
Openalex Percentile: Top 26%
Metallurgical Processes and Thermodynamics
1.06
DOIOpen Access PDFOpenAlex
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Toward mechanistic models “augmented” by machine learning. Example of a drying simulation data set exploited by a Physics Informed Neural Network — Patrick Perré · Drying Technology (2024) | TGRS Research Map | TGRS