Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning

Transition-metal complexes are attractive targets for the design of catalysts and functional materials. The behavior of the metal-organic bond, while very tunable for achieving target properties, is challenging to predict and necessitates searching a wide and complex space to identify needles in hay...

Celý popis

Podrobná bibliografia

Vydané v:	Chemical reviews Ročník 121; číslo 16; s. 9927
Hlavní autori:	Nandy, Aditya, Duan, Chenru, Taylor, Michael G, Liu, Fang, Steeves, Adam H, Kulik, Heather J
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 25.08.2021
Predmet:	Coordination Complexes - chemistry High-Throughput Screening Assays Machine Learning Metals - chemistry Transition Elements - chemistry
ISSN:	1520-6890, 1520-6890
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!