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Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO

Abstract : 19 Artificial neural network (ANN) modeling was applied to study the photocatalytic degradation of 20 bisphenol-A. The operating conditions of the Ag/ZnO photocatalyst synthesis and its 21 performance were simultaneously modeled and subsequently optimized to target the highest 22 efficiency in terms of the degradation reaction rate. Two ANN models were developed to 23 simulate the stages of the photocatalyst synthesis and photodegradation performance, 24
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https://hal.univ-lorraine.fr/hal-01629305
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Submitted on : Thursday, February 8, 2018 - 5:18:35 PM
Last modification on : Wednesday, March 25, 2020 - 5:54:01 PM
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Alma Berenice Jasso-Salcedo, Sandrine Hoppe, Fernand Pla, Vladimir Alonso Escobar-Barrios, Mauricio Camargo, et al.. Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO. Chemical Engineering Research and Design, Elsevier, 2017, 128, pp.174 - 191. ⟨10.1016/j.cherd.2017.10.012⟩. ⟨hal-01629305⟩

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