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1 Ergebnisse
1
Developing Cheap but Useful Machine Learning-Based Models f..:
Chenghan Sun
;
Rajat Goel
;
Ambarish R. Kulkarni
doi:10.1021/acs.langmuir.3c03401.s001. , 2024
Link:
https://doi.org/10.1021/acs.langmuir.3c03401.s001
RT Journal T1
Developing Cheap but Useful Machine Learning-Based Models for Investigating High-Entropy Alloy Catalysts
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_25145023&Exemplar=1&LAN=DE A1 Chenghan Sun A1 Rajat Goel A1 Ambarish R. Kulkarni YR 2024 K1 Biophysics K1 Medicine K1 Ecology K1 Developmental Biology K1 Plant Biology K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 sequential optimization protocol K1 scale computational resources K1 quality adsorption energies K1 entropy alloy catalysts K1 efficient philosophy may K1 appropriately designed descriptors K1 synergistically combines descriptor K1 based force fields K1 useful machine learning K1 using comofenicu high K1 developing interpretable ml K1 effective dft calculations K1 machine learning K1 based descriptor K1 useful models K1 effective workflow K1 predicting high K1 predict high K1 investigating high K1 based models K1 based approaches K1 x </ K1 work aims K1 taken together K1 sub >< K1 study illustrates K1 new geometry K1 developing cheap K1 broadly relevant K1 ></ sub JF doi:10.1021/acs.langmuir.3c03401.s001 LK http://dx.doi.org/https://doi.org/10.1021/acs.langmuir.3c03401.s001 DO https://doi.org/10.1021/acs.langmuir.3c03401.s001 SF ELIB - SuUB Bremen
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