1. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., Zheng, X., 2016. TensorFlow: A system for large-scale machine learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation. OSDI 16, pp. 265–283.
2. International association for computational mechanics mechanistic machine learning and digital twins for computational science, engineering & technology;Anon,2021
3. Sobolev training for neural networks;Czarnecki,2017
4. Yield surfaces and principle of superposition: Revisit through incrementally non-linear constitutive relations;Darve;Int. J. Plast.,1995
5. Knowledge-based modeling of material behavior with neural networks;Ghaboussi;J. Eng. Mech.,1991