WITHDRAWN: Prediction of reaction parameters on reaction kinetics for treatment of industrial wastewater: A machine learning perspective

Recent Progress and Prospects in Catalytic Water Treatment

“…1047 The usefulness of this approach to predict the effectiveness and cost-efficiency in the removal of phenol from industrial wastewater by using photo-Fenton process has been recently emphasized. 1046 The best accuracy obtained for deep neural network shows that pH, light intensity, amount of H2O2 and specific level of impurities are relevant parameters while the concentration of Fe 3+ and TiO2 as catalyst plays a minor role. The growing interest of machine learning for developing new materials has been also illustrated in the development of perovskites for photocatalytic applications, but the statistical significance implies management of accurate experimental data and broader generalization would need the implementation of combinatorial procedures.…”

“…The computational approaches using advanced force-fields simulation tools can better match experimental observations. Nevertheless, model structured surfaces for current solid substrate, such as TiO 2 , conventionally used differ from amorphous surfaces including defective sites and various degree of hydroxylation and charge according to pH conditions . An alternative approach would consist of the development of cost-effective nanomaterials capable to mimic the kinetic behavior of enzymes with improved stability and higher efficiency in broader operating conditions.…”

“…Machine learning is an emerging approach that benefits an exponential growth of scientific papers published in this branch of computer science in the last decades (Figure ). The usefulness of this approach to predict the effectiveness and cost-efficiency in the removal of phenol from industrial wastewater by using photo-Fenton process has been recently emphasized . The best accuracy obtained for deep neural network shows that pH, light intensity, amount of H 2 O 2 , and specific level of impurities are relevant parameters, while the concentrations of Fe 3+ and TiO 2 as catalyst plays a minor role.…”