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Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water
Environmental Studies and Forestrynpj Clean Water

Machine learning assisted dual-functional nanophotonic sensor for organic pollutant detection and degradation in water

J. Zhou, Z. Wu, et al.

This groundbreaking study by Junhu Zhou, Ziqian Wu, Congran Jin, and John X. J. Zhang unveils a dual-functional thin film that excels in water purification and organic pollutant sensing. With a remarkable 98%+ degradation efficiency and an impressive enhancement factor of 1056 for SERS signals, it pushes the boundaries of environmental science using machine learning for real-time detection.... show more
Citation Metrics
Citations
32
Influential Citations
1
Reference Count
27
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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