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Machine learning driven performance for hole transport layer free carbon-based perovskite solar cells
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Discover a cutting-edge five-step methodology for implementing machine learning models in fabricating hole transport layer-free carbon-based perovskite solar cells. This research, conducted by Sreeram Valsalakumar, Shubhranshu Bhandari, Anurag Roy, Tapas K. Mallick, Justin Hinshelwood, and Senthilarasu Sundaram, reveals how an ANN-based model achieves remarkable predictive accuracy, enhancing optimization and understanding of device parameters.
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