1. Y. Liu, E. Racah, Prabhat, J. Correa, A. Khosrowshahi, D. Lavers, K. Kunkel, M. Wehner, W. Collins, Application of deep convolutional neural networks for detecting extreme weather in climate datasets (2016). arXiv:1605.01156.
2. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance;Ling;Journal of Fluid Mechanics,2016
3. T. Corcoran, R. Zamora-Resendiz, X. Liu, S. Crivelli, A spatial mapping algorithm with applications in deep learning-based structure classification (2018). arXiv:1802.02532.
4. M. Jiang, B. Gallagher, N. Mandell, A. Maguire, K. Henderson, G. Weinert, A deep learning framework for mesh relaxation in arbitrary lagrangian-eulerian simulations, in: Applications of Machine Learning, vol. 11139, International Society for Optics and Photonics, 2019, p. 111390O.
5. Workshop report on basic research needs for scientific machine learning: Core technologies for artificial intelligence, Tech. rep.;Baker,2019