This electronic stopping cross-section database includes data trained by our machine learning.
Fan Cheng , Xun Liu , Qirong Zheng, Chuanguo Zhang , Bo Da **, Yonggang Li*, Machine learning study of universal electronic stopping cross-sections of ions in matter, Nuclear Engineering and Technology 57, 103271(2025)
Data Source:
http://Database Platform (issp.ac.cn). Copyright © ISSP.
and data from the publications:
[1] Ziegler, J. F, Ziegler, M. D, and Biersack, J.P, SRIM - The stopping and range of ions in matter (2010), Nucl. Instrum. Methods Phys. Res. B, 2010.268:6.
Data Source:
http://www.srim.org. Copyright © SRIM.
[2] Sigmund, P. and Schinner, A., Binary stopping theory for swift heavy ions. Eur. Phys. J. D, 2000. 12: 10.
Data Source:
https://www.sdu.dk/da/dpass, Copyright © SDU.
[3] Grande, P. L. and Schiwietz, G., lmpact-parameter dependence of the electronic energy loss of fast ions. Phys. Rev. A,1998.58:5.
Data Source:
http://www.casp-program.org/. Copyright © CasP.
We would like to express our sincere gratitude to the databases of SRIM, BT (Binary Theory) and UCA (Unitary Convolution Approximation) for providing/releasing the dataset used in this database for reference.