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U.S. DoE to invest $71M in solar technology development...

.and EPFL develops new method based on machine-learning to find 14 new PV materials. ....

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Machine Learning Accelerates Discovery of Optimal Perovskites for Solar Energy

Researchers from the Swiss Federal Institute of Technology Lausanne discovered perovskites with the perfect band gap for solar applications. Scientists found around 14 new solar cell materials by inculcating a machine-learning program, an advanced version of Density Functional Theory ....

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Machine Learning Boosts Solar-cell Perovskites Discovery

Machine Learning Boosts Solar-cell Perovskites Discovery
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Haiyuan Wang , Alfredo Pasquarello , Density Functional Theory ,

Machine learning accelerates discovery of solar-cell perovskites

An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells. ....

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