APA (7th ed.) Citation

Jiang, H., Chen, M., Hou, J., Guo, Z., Hu, Z., Man, Z., . . . Liu, D. (2025). A Deep Learning-Based CNN-LSTM Framework for Constitutive Parameter Inversion in Alloy Gradient-Grained Materials. Metals (2075-4701), 15(12), 1286. https://doi.org/10.3390/met15121286

Chicago Style (17th ed.) Citation

Jiang, Hao, Mengyi Chen, Jianxin Hou, Zhenfei Guo, Zixuan Hu, Zongzhe Man, Xiao Wei, and Da Liu. "A Deep Learning-Based CNN-LSTM Framework for Constitutive Parameter Inversion in Alloy Gradient-Grained Materials." Metals (2075-4701) 15, no. 12 (2025): 1286. https://doi.org/10.3390/met15121286.

MLA (9th ed.) Citation

Jiang, Hao, et al. "A Deep Learning-Based CNN-LSTM Framework for Constitutive Parameter Inversion in Alloy Gradient-Grained Materials." Metals (2075-4701), vol. 15, no. 12, 2025, p. 1286, https://doi.org/10.3390/met15121286.