Faster Response Chemical Reaction Using Machine Learning

The majority of advancements are still generally attributed to trial-and-error experimentation, which takes a long time and a lot of money and can be a significant portion of research in physics, chemistry, and materials science. This type of experimentation can be a significant portion of the process. Despite the fact that a large percentage of research is devoted to the identification and characterization of novel chemicals that have the potential to be of use to society. In this paper, the chemical reactions are quickened using machine learning modelling. The paper uses supervised machine learning approach to fasten the process of chemical reaction by learning it in a supervised manner. The research provides details of how the process of chemical reactions taking place in conventional and using machine learning models. The simulation is conducted in python to test if the chemical reactions are produced with faster convergence time than the existing methods.