This electronic stopping cross-section database includes data trained by our machine learning:
Fan Cheng, Xun Liu, Qirong Zheng, Chuanguo Zhang, Bo Da and Yonggang Li, Machine learning study of universal electronic stopping cross-sections of ions in matter, submitted to Nuclear Materials and Energy, (2024).
Data Source:
http://Database Platform (issp.ac.cn). Copyright © ISSP.
and data from the publications:
[1] Ziegler, J. F., Ziegler, M. D., and J.p. Biersack, SRIM - The stopping and range of ions in matter (2010). NuclInstrum, Methods Phys. Res.Sect. 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., Impact-parameter dependence of the electronic energy loss of fast ions. PhysReyA,1998.58.
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.