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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. ....

United States , Haiyuan Wang , Alfredo Pasquarello , Journal Of The American Chemical Society , American Chemical , Density Functional Theory , High Quality Data Enabling Universality , Band Gap Descriptor , Photovoltaic Perovskites , American Chemical Society ,

Emerging Trends in Semiconductor Technology

Emerging Trends in Semiconductor Technology
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how to add top gate voltage in tightbinding model of graphene - Mis-asia provides comprehensive and diversified online news reports, reviews and analysis of nanomaterials, nanochemistry and technology.

how to add top gate voltage in tightbinding model of graphene - Mis-asia provides comprehensive and diversified online news reports, reviews and analysis of nanomaterials, nanochemistry and technology.
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