Wen, D., & Titus, M. S. (2023). pySSpredict: A python-based solid-solution strength prediction toolkit for complex concentrated alloys. Computational materials science, 220, 111977. https://doi.org/10.1016/j.commatsci.2022.111977
Chicago-Zitierstil (17. Ausg.)Wen, Dongsheng, und Michael S. Titus. "PySSpredict: A Python-based Solid-solution Strength Prediction Toolkit for Complex Concentrated Alloys." Computational Materials Science 220 (2023): 111977. https://doi.org/10.1016/j.commatsci.2022.111977.
MLA-Zitierstil (9. Ausg.)Wen, Dongsheng, und Michael S. Titus. "PySSpredict: A Python-based Solid-solution Strength Prediction Toolkit for Complex Concentrated Alloys." Computational Materials Science, vol. 220, 2023, p. 111977, https://doi.org/10.1016/j.commatsci.2022.111977.