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1 Ergebnisse
1
Machine Learning-Assisted Development of Organic Solar Cell..:
Yuta Miyake (11873054)
;
Akinori Saeki (1280871)
https://figshare.com/articles/dataset/Machine_Learning-Assisted_Development_of_Organic_Solar_Cell_Materials_Issues_Analyses_and_Outlooks/17430449. , 2021
Link:
https://doi.org/10.1021/acs.jpclett.1c03526.s002
RT Journal T1
Machine Learning-Assisted Development of Organic Solar Cell Materials: Issues, Analyses, and Outlooks
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_17430449&Exemplar=1&LAN=DE A1 Yuta Miyake (11873054) A1 Akinori Saeki (1280871) YR 2021 K1 Biochemistry K1 Biotechnology K1 Cancer K1 Plant Biology K1 Biological Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 power conversion efficiency K1 large structural freedom K1 experimental data set K1 experimental data ) K1 opvs ) K1 data size K1 data collection K1 available data K1 throughput method K1 substantially improved K1 recognition motivates K1 process optimization K1 present perspective K1 prediction accuracy K1 perspective discusses K1 outlooks nonfullerene K1 organic photovoltaics K1 opv publications K1 nfa category K1 mordred descriptors K1 molecules makes K1 material design K1 machine learning K1 limited resources K1 explanatory variables K1 conjugated polymers JF https://figshare.com/articles/dataset/Machine_Learning-Assisted_Development_of_Organic_Solar_Cell_Materials_Issues_Analyses_and_Outlooks/17430449 LK http://dx.doi.org/https://doi.org/10.1021/acs.jpclett.1c03526.s002 DO https://doi.org/10.1021/acs.jpclett.1c03526.s002 SF ELIB - SuUB Bremen
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