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Deep-Learning Architecture in QSPR Modeling for the Prediction of Energy Conversion Efficiency of Solar Cells

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The efficient and effective design of chemical processes and products heavily relies on the accurate prediction of essential properties. In this work, a deep-learning architecture integrating a bid... Click to show full abstract

The efficient and effective design of chemical processes and products heavily relies on the accurate prediction of essential properties. In this work, a deep-learning architecture integrating a bid...

Keywords: qspr modeling; architecture qspr; modeling prediction; deep learning; learning architecture

Journal Title: Industrial & Engineering Chemistry Research
Year Published: 2020

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