Computational Sciences & Machine Learning

This category includes the use of computational methods, simulations, and machine learning to solve complex problems in chemical and biomolecular engineering. It involves modeling chemical processes, predicting material behaviors, and analyzing large datasets.

Computational tools and machine learning techniques are increasingly used to accelerate research, optimize processes, and design new materials by providing insights that are difficult to obtain through experimental methods alone.