Computational screening of perovskite metal oxides for optimal solar light capture
By I. Castelli, T. Olsen, S. Datta, D. D. Landis, S. Dahl, Kristian Sommer Thygesen, Karsten Wedel Jacobsen. 2012
366 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/52089f88b3caea5f969ff5cac50199d1f429d919
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In Electrical and Electronic Engineering
- Rampi Ramprasad
- Kristian Sommer Thygesen
- T. Olsen
- Ryan Jacobs
- Dane Morgan
- Minggang Ju
- Karsten Wedel Jacobsen
- J. Dai
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Machine learning bandgaps of double perovskites (2016, methodology): “The CMR database reports the bandgaps of all the double perovskites with the rocksalt ordering of cations at both the A-and the B-sites 38 .”
- Toward Eco-friendly and Stable Perovskite Materials for Photovoltaics (2018, background): “On the basis of aforementioned descriptors, one can screen the candidates with perovskite structure, and its derivatives, to search for suitable materials with desirable properties.(55,63,64) However, considering the large composition space and the numerous suitable descriptors for key properties, w”