1. “Mathematical Methods for Physics and Engineering” Ken F. Riley, Mike P. Hobson, Stephen J. Bence, (Third Edition), Cambridge University Press (2006/6/8) ISBN-13:978-0521683395
2. “Bayesian Optimization and Data Science”, Francesco Archetti, Antonio Candelieri, Springer (2019/10/7) ISBN-13:978-3030244934
3. “Sparse Modeling: Theory, Algorithms, and Applications” Irina Rish, Genady Grabarnik, CRC Press (2014/12/1) ISBN-13:978-1439828694
4. “Synergy of Binary Substitution for Improving Cycle Performance in LiNiO2 Revealed by ab initio Materials Informatics”, T. Yoshida, R. Maezono, and K. Hongo, ACS Omega 5, 13403 (2020). https://doi.org/10.1021/acsomega.0c01649
5. “The Elements of Statistical Learning: Data Mining, Inference, and Prediction”, Trevor Hastie, Robert Tibshirani, Jerome Friedman, Springer (2009/3/1) ISBN-13:978-0387848570