- Published
- 2022-03-18
- Venue
- Computer Methods in Applied Mechanics and Engineering, vol. 393, pp. 114823
- Cited by
- 730
- Open access
- Yes, bronze
- DOI
- 10.1016/j.cma.2022.114823
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Yu, J., Lu, L., Meng, X., & Karniadakis, G. E. (2022). Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems. Computer Methods in Applied Mechanics and Engineering, 393, 114823. https://doi.org/10.1016/j.cma.2022.114823
- MLA 9
Yu, Jeremy, et al. "Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems." Computer Methods in Applied Mechanics and Engineering, vol. 393, 2022, pp. 114823, https://doi.org/10.1016/j.cma.2022.114823.
- Chicago
Yu, Jeremy, Lu Lu, Xuhui Meng, and George Em Karniadakis. "Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems." Computer Methods in Applied Mechanics and Engineering 393 (2022): 114823. https://doi.org/10.1016/j.cma.2022.114823.
- GOST
Yu J., Lu L., Meng X. [и др.] Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems // Computer Methods in Applied Mechanics and Engineering. — 2022. — Vol. 393. — P. 114823. — URL: https://doi.org/10.1016/j.cma.2022.114823
- BibTeX
@article{yu2022gradientenhanced, title = {{Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems}}, author = {Jeremy Yu and Lu Lu and Xuhui Meng and George Em Karniadakis}, journal = {Computer Methods in Applied Mechanics and Engineering}, year = {2022}, volume = {393}, pages = {114823}, doi = {10.1016/j.cma.2022.114823}, url = {https://doi.org/10.1016/j.cma.2022.114823} }- RIS
TY - JOUR AU - Yu, Jeremy AU - Lu, Lu AU - Meng, Xuhui AU - Karniadakis, George Em TI - Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems JO - Computer Methods in Applied Mechanics and Engineering VL - 393 SP - 114823 PY - 2022 DA - 2022/03/18 DO - 10.1016/j.cma.2022.114823 UR - https://doi.org/10.1016/j.cma.2022.114823 ER -
Ask Claude about this paper
Add Find Research to Claude or ChatGPT and ask in plain language. The assistant reads this record, finds the papers around it and cites only what it actually found:
- “Summarize doi:10.1016/j.cma.2022.114823 and list its main limitations.”
- “Find newer studies that test the same question, with free PDFs.”
- “Cite this and five related papers in APA for my literature review.”
Setup takes about a minute: add the connector, then start the free trial.
Record from OpenAlex; open-access location from Unpaywall and the indexes. Find Research links only to legal copies.