An open-source deep learning model for predicting effluent concentration in capacitive deionization

To effectively evaluate the performance of capacitive deionization (CDI), an electrochemical ion separation technology, it is necessary to accurately estimate the number of ions removed (effluent concentration) according to energy consumption. Herein, we propose and evaluate a deep learning model fo...

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Veröffentlicht in:	The Science of the total environment 2023-01, Vol.856, p.159158-159158, Article 159158
Hauptverfasser:	Son, Moon, Yoon, Nakyung, Park, Sanghun, Abbas, Ather, Cho, Kyung Hwa
Format:	Artikel
Sprache:	eng
Schlagworte:	Capacitive deionization Deep learning Effluent conductivity Neural networks Python
Online-Zugang:	Volltext
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