Iffat Elbarazi, Zufishan Alam, Nasloon Ali, Tom Loney, Rami H Al-Rifai, Fatma Al-Maskari, Luai A Ahmed
Health literacy among pregnant women in the United Arab Emirates: The Mutaba'ah study
Women's health (London, England)
computational methods emerged powerful tool augment traditional experimental molecular catalyst design providing useful predictions catalyst performance decreasing time needed catalyst screening perspective discuss three approaches computational molecular catalyst design reaction mechanismbased approach calculates relevant elementary steps finds rate selectivity determining steps ultimately makes predictions catalyst performance based kinetic analysis ii descriptorbased approach physicalchemical considerations used find molecular properties predictors catalyst performance iii datadriven approach statistical analysis well machine learning ml methods used obtain relationships available datafeatures catalyst performance following introduction approaches cover strengths weaknesses highlight recent key applications furthermore present outlook currently applied approaches may evolve near future addressing recent developments building automated computational workflows implementing advanced ml models hold promise reducing human workload eliminating human bias speeding computational catalyst design time finally provide viewpoint challenges associated upandcoming approaches driven automation ml may resolved