Article Versions Notes

Qi C, Zhou Y, Yuan X, Peng Q, Yang Y, Li Y, Wen X. Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li₁₀GeP₂S₁₂ Solid Electrolyte. Materials. 2024; 17(8):1810. https://doi.org/10.3390/ma17081810

Qi, Changlin, Yuwei Zhou, Xiaoze Yuan, Qing Peng, Yong Yang, Yongwang Li, and Xiaodong Wen. 2024. "Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li₁₀GeP₂S₁₂ Solid Electrolyte" Materials 17, no. 8: 1810. https://doi.org/10.3390/ma17081810

Qi, C., Zhou, Y., Yuan, X., Peng, Q., Yang, Y., Li, Y., & Wen, X. (2024). Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li₁₀GeP₂S₁₂ Solid Electrolyte. Materials, 17(8), 1810. https://doi.org/10.3390/ma17081810