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Experimental Mechanics

On the Cover: Physics Informed Neural Network Based Digital Image Correlation Method

  • 03-02-2025
Published in:
Published in
Experimental Mechanics | Issue 2/2025

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Excerpt

The article introduces a groundbreaking approach to digital image correlation by leveraging Physics Informed Neural Networks. This method combines the power of machine learning with the fundamental principles of physics to enhance the accuracy and reliability of material testing and analysis. The authors demonstrate the superior performance of their method through comprehensive experiments, showcasing its potential to revolutionize the field of materials science and engineering.
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next article Research on a New Exponential Function Weighted Averaging Method Used for Full-Gradient Strain Measurement of DIC
Title
On the Cover: Physics Informed Neural Network Based Digital Image Correlation Method
Publication date
03-02-2025
Publisher
Springer US
Published in
Experimental Mechanics / Issue 2/2025
Print ISSN: 0014-4851
Electronic ISSN: 1741-2765
DOI
https://doi.org/10.1007/s11340-025-01152-7

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Premium Partners

    Image Credits
    in-adhesives, MKVS, Ecoclean/© Ecoclean, Hellmich GmbH/© Hellmich GmbH, Krahn Ceramics/© Krahn Ceramics, Kisling AG/© Kisling AG, ECHTERHAGE HOLDING GMBH&CO.KG - VSE, Schenker Hydraulik AG/© Schenker Hydraulik AG