Xue, T., Liao, S., Gan, Z., Park, C., Xie, X., Liu, W. K., & Cao, J. (2023). JAX-FEM: A differentiable GPU-accelerated 3 D finite element solver for automatic inverse design and mechanistic data science. Computer Physics Communications, 291. https://doi.org/10.1016/j.cpc.2023.108802

XUE, Tianju, LIAO, Shuheng, GAN, Zhengtao, PARK, Chanwook, XIE, Xiaoyu, LIU, Wing Kam und CAO, Jian, 2023. JAX-FEM: A differentiable GPU-accelerated 3 D finite element solver for automatic inverse design and mechanistic data science. Computer Physics Communications. 1 Oktober 2023. Vol. 291, , . DOI 10.1016/j.cpc.2023.108802.

Xue, T., S. Liao, Z. Gan, C. Park, X. Xie, W. K. Liu, und J. Cao. „JAX-FEM: A Differentiable GPU-Accelerated 3 D Finite Element Solver for Automatic Inverse Design and Mechanistic Data Science“. Computer Physics Communications, Bd. 291, Oktober 2023, https://doi.org/10.1016/j.cpc.2023.108802.

Xue, Tianju/Liao, Shuheng/Gan, Zhengtao/Park, Chanwook/Xie, Xiaoyu/Liu, Wing Kam u. a.: JAX-FEM: A differentiable GPU-accelerated 3 D finite element solver for automatic inverse design and mechanistic data science, Computer Physics Communications 2023,

Xue, T., Liao, S., Gan, Z., Park, C., Xie, X., Liu, W.K. und Cao, J. (2023), „JAX-FEM: A differentiable GPU-accelerated 3 D finite element solver for automatic inverse design and mechanistic data science“, Computer Physics Communications, Vol. 291, verfügbar unter:https://doi.org/10.1016/j.cpc.2023.108802.