Machine learning for material characterization with an application for predicting mechanical properties
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Publication:6068271
DOI10.1002/gamm.202100003arXiv2010.06010OpenAlexW3120853544WikidataQ125767341 ScholiaQ125767341MaRDI QIDQ6068271
Publication date: 15 December 2023
Published in: GAMM-Mitteilungen (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2010.06010
machine learningmaterial characterizationultimate tensile strengthtensile propertiessmall punch test
Numerical and other methods in solid mechanics (74Sxx) Artificial intelligence (68Txx) Nonparametric inference (62Gxx)
Cites Work
- A simple nonparametric estimator of a strictly monotone regression function
- Modeling and simulation of low-cycle fatigue life of steel reinforcing bars using artificial neural network
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
- Identification of material properties using indentation test and shape manifold learning approach
- Principal component analysis: a review and recent developments
- Machine learning: Trends, perspectives, and prospects
- Determination of Poisson’s Ratio by Spherical Indentation Using Neural Networks—Part I: Theory
- An Introduction to Statistical Learning
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