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1 Ergebnisse
1
CO 2 Adsorptions on d ‑Block-Metal-Doped Nickel Nanoparticl..:
Shiru Lin (5565797)
;
Chong Teng (3531785)
;
Junwei Lucas Bao (3226290)
https://figshare.com/articles/journal_contribution/CO_sub_2_sub_Adsorptions_on_i_d_i_Block-Metal-Doped_Nickel_Nanoparticles_Unexpected_Adsorption_Configurations_Predicted_by_Machine_Intelligence/16548007. , 2021
Link:
https://doi.org/10.1021/acs.jpcc.1c07133.s001
RT Journal T1
CO 2 Adsorptions on d ‑Block-Metal-Doped Nickel Nanoparticles: Unexpected Adsorption Configurations Predicted by Machine Intelligence
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16548007&Exemplar=1&LAN=DE A1 Shiru Lin (5565797) A1 Chong Teng (3531785) A1 Junwei Lucas Bao (3226290) YR 2021 K1 Biophysics K1 Cell Biology K1 Biotechnology K1 Space Science K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 doped nickel nanoparticles K1 specific metallic surface K1 metallic surface plays K1 preferred adsorption geometry K1 2 </ sub K1 metallic nanoparticles K1 adsorption geometry K1 adsorption geometries K1 widely studied K1 valuable chemicals K1 training set K1 thermal activation K1 reliable identification K1 physical origins K1 key step K1 dopant effects K1 depends sensitively K1 critical role K1 classification model K1 charge transfer K1 c – K1 bond scission K1 >‑ block JF https://figshare.com/articles/journal_contribution/CO_sub_2_sub_Adsorptions_on_i_d_i_Block-Metal-Doped_Nickel_Nanoparticles_Unexpected_Adsorption_Configurations_Predicted_by_Machine_Intelligence/16548007 LK http://dx.doi.org/https://doi.org/10.1021/acs.jpcc.1c07133.s001 DO https://doi.org/10.1021/acs.jpcc.1c07133.s001 SF ELIB - SuUB Bremen
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