1. Ten-sorFlow: a system for Large-Scale machine learning;M Abadi;Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI),2016
2. Automatic differentiation in machine learning: a survey;A G Baydin;Journal of Marchine Learning Research,2018
3. Three ways to solve partial differential equations with neural networks -A review;J Blechschmidt;GAMM-Mitteilungen,2021
4. Physics-informed neural networks (PINNs) for fluid mechanics: A review;S Cai;Acta Mechanica Sinica,2022