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A data-driven machine learning approach for electron-molecu..:
Harris, A L
;
Nepomuceno, J
Journal of Physics B: Atomic, Molecular and Optical Physics. 57 (2024) 2 - p. 025201 , 2024
Link:
https://doi.org/10.1088/1361-6455/ad2185
RT Journal T1 <Title>A data-driven machine learning approach for electron-molecule ionization cross sections</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1088_1361-6455_ad2185&Exemplar=1&LAN=DE A1 Harris, A L A1 Nepomuceno, J PB IOP Publishing YR 2024 SN 0953-4075 SN 1361-6455 JF Journal of Physics B: Atomic, Molecular and Optical Physics VO 57 IS 2 SP 025201 LK http://dx.doi.org/https://doi.org/10.1088/1361-6455/ad2185 DO https://doi.org/10.1088/1361-6455/ad2185 SF ELIB - SuUB Bremen
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