# Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks

> Research article (Journal of Computational Physics, 2022) · cited 32× · AI/ML

**Wikidata**: [openalex:W3198736066](https://www.wikidata.org/wiki/openalex:W3198736066)  
**Source**: https://4ort.xyz/entity/wasserstein-generative-adversarial-uncertainty-quantification-in-physics-informed-neural-networks