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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

Machine Learning Boosts Solar-cell Perovskites Discovery

Machine Learning Boosts Solar-cell Perovskites Discovery
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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.

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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