Predicting electronic stopping powers using stacking ensemble machine learning method

Author:

Akbari FatemehORCID,Taghizadeh SomayehORCID,Shvydka DianaORCID,Sperling Nicholas NivenORCID,Parsai E. Ishmael

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference41 articles.

1. SRIM–The stopping and range of ions in matter (2010);Ziegler;Nucl. Instrum. Methods Phys. Res. Sect. B: Beam Interact. Mater. Atoms,2010

2. Council, N.R. Health effects of exposure to low levels of ionizing radiation: BEIR V. 1990.

3. Stopping power and range calculations in human tissues by using the Hartree-Fock-Roothaan wave functions;Usta;Radiat. Phys. Chem.,2017

4. Electronic stopping cross section for protons incident on biological and biomedical materials within a FSGO quantum chemistry description;Trujillo-López;Radiat. Phys. Chem.,2019

5. ICRU report 85: fundamental quantities and units for ionizing radiation;Thomas,2012

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