Digital twin for pv materials may speed up commercialization of next-generation panels

Researchers in Germany have developed a digital twin for photovoltaic materials that can reportedly help increase the frequency of new and important discoveries in the solar industry and research. The layout of the digital twin combines machine learning and physical models used in engineering.Researchers at the Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany have created a digital twin for PV materials in an effort to accelerate innovation in the PV manufacturing industry. Digital twins are used in engineering science to define digital counterparts of existing physical assets. They ...

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