Study and solve complex chemical problems using computer simulations, mathematical modeling and theoretical methods. With computational chemistry, we can predict catalytic and material properties, model reactions turning agriculture waste into hydrogen and fuel, and accelerate the discovery of sustainable electrolytes for batteries.

Using chemical theories and principles to calculate force, reaction times, and motion of atoms and molecules, a computer can apply statistics, probability, and algorithms to predict and simulate molecular systems. With this information, we can optimize and assess the stability of proteins for drug design, analyze DNA to predict biological functions, study characteristics and properties to fashion new materials, test structure for nanoscale technology, and more.

Create data-driven visual or mathematical representations of workflows to identify bottlenecks, inefficiencies and opportunities for improvement. With this information, we can structure processes and workflows to enhance performance, reduce costs, which can save valuable energy resources, make the workplace safer, mitigate environmental harm and waste disposal.

Use mathematical principles and algorithms to simulate, analyze and solve complex problems involving fluid mechanics and flow of liquids and gases. Not only does this help us explore innovative applications of fluid mechanics research, it also reduces the need for physical testing which can be more costly and time intensive. For example, we can run simulations showing the dynamics of blood flow or drag reduction in order to study blood diseases or how drag on the molecular level affects polymer development.