The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics
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SciPy 1.0: fundamental algorithms for scientific computing in Python
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Raissi, M., Perdikaris, P., & Karniadakis, G. E. (2019) · Journal of Computational Physics · doi:10.1016/j.jcp.2018.10.045 · Cited by 20,384
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
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Deep learning in neural networks: an overview
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Alzubaidi, L., Zhang, J., Humaidi, A. J., Al-Dujaili, A., Duan, Y., Al-Shamma, O., Santamaría, J., Fadhel, M. A., Al-Amidie, M., & Farhan, L. (2021) · Journal of Big Data · doi:10.1186/s40537-021-00444-8 · Cited by 7,906
Self-citationDGM: A deep learning algorithm for solving partial differential equations
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The Mathematical Theory of Finite Element Methods
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Samaniego, E., Anitescu, C., Goswami, S., Nguyen-Thanh, V. M., Guo, H., Hamdia, K., Zhuang, X., & Rabczuk, T. (2020) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2019.112790 · Cited by 2,104
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Cited by
Alzubaidi, L., Bai, J., Al-Sabaawi, A., Santamaría, J., Albahri, A. S., Al-dabbagh, B. S. N., Fadhel, M. A., Manoufali, M., Zhang, J., Al-Timemy, A. H., et al. (2023) · Journal of Big Data · doi:10.1186/s40537-023-00727-2 · Cited by 907
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Metadata
- Authors
- Bai, J., Rabczuk, T., Gupta, A., Alzubaidi, L., & Gu, Y.
- Venue
- Computational Mechanics
- Published
- 2022-11-28
- Volume
- 71
- Issue
- 3
- Pages
- 543-562
- ISSN
- 0178-7675 (ISSN-L)
- 1432-0924
- OpenAlex
- W4310153797
- Cited by
- 266
- References
- 37
- FWCI
- 17.73
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics. https://app.cochat.ai/papers/10.1007/s00466-022-02252-0
- The paper
- Bai, J., Rabczuk, T., Gupta, A., Alzubaidi, L., & Gu, Y. (2023). A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics. Computational Mechanics. https://doi.org/10.1007/s00466-022-02252-0
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
