%O cited By 2
%T Generation of proton-and alpha-induced nuclear cross-section data via random forest algorithm: Production of radionuclide111in
%R 10.3390/app11156969
%J Applied Sciences (Switzerland)
%V 11
%N 15
%A M.A.B. Hamid
%A H.G. Beh
%A Y.A. Oluwatobi
%A X.Y. Chew
%A S. Ayub
%L scholars14615
%X We investigated the generation of proton-and alpha-induced nuclear cross-section data in the production of Indium-111 (111 In) for application in nuclear medicine. Here, we are interested in three reaction channels, which are109Ag (α, 2n),111Cd (p, n) and112Cd (p, 2n), in the production of111 In. A random forest algorithm was used to generate nuclear cross-section data by using an experimental nuclear cross-section from the Experimental Nuclear Reaction Data (EXFOR) database as input. Hence, reasonably accurate regression curves of nuclear cross-section data could be produced with the evaluated nuclear data library ENDF/B-VII.0 set as the benchmark. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
%I MDPI AG
%D 2021