Predicting electronic structure properties of transition metal complexes with neural networks

High-throughput computational screening has emerged as a critical component of materials discovery. Direct density functional theory (DFT) simulation of inorganic materials and molecular transition metal complexes is often used to describe subtle trends in inorganic bonding and spin-state ordering,...

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Bibliographic Details
Main Authors: Janet, Jon Paul (Author), Kulik, Heather Janine (Author)
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor)
Format: Article
Language:English
Published: Royal Society of Chemistry (RSC), 2021-01-09T00:39:25Z.
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