Ramesh Kumar, Jayato Nayak, Somnath Chowdhury, Sashikant Nayak, Shirsendu Banerjee, Bikram Basak, Masoom Raza Siddiqui, Moonis Ali Khan, Rishya Prava Chatterjee, Prashant Kumar Singh, WooJin Chung, Byong-Hun Jeon, Sankha Chakrabortty, Suraj K Tripathy
Assessment of the performance of linear and nonlinear regression-based methods for estimating in situ catalytic CO2 transformations employing TiO2 /Cu coupled with hydrogen exfoliation graphene (HEG) has been investigated. The yield of methanol was thoroughly optimized and predicted using response surface methodology (RSM) and artificial neural network (ANN) model after rigorous experimentation and comparison. Amongst the different types of HEG loading from 10 to 40 wt%, the 30 wt% in the HEG-TiO2 /Cu assisted photosynthetic catalyst was found to be successful in providing the highest conversion efficiency of methanol from CO2 ...
April 16, 2024: RSC Advances