Scientific Computing

Scientific Computing develops new theories, algorithms, and computer software and uses them to investigate questions in science and engineering.  In complex systems, experiments alone are often insufficient to obtain a detailed understanding, and scientific computing can fill in some critical gaps.  Indeed, modeling and simulation are now considered a third mode of discovery, of equal importance to theory and experiment. Scientific computing provides a means to design better materials, understand biology at the molecular scale, virtually screen drug candidates, predict weather patterns, and model the dynamics of galaxies.

Georgia Tech has experts in every aspect of scientific computing: development of new theoretical models amenable to computation, development of algorithms to implement these theories, development of high-quality research software to make these algorithms usable by others, and the use of modeling and simulation to answer challenging questions.  Often, the algorithms and software developed utilize emerging techniques in AI and ML, and are developed for use on high-performance or high-throughput computing platforms.