Robust optimization is a field of mathematical optimization dealing with uncertainty in the optimization process. It aims to find solutions that remain effective under a variety of possible scenarios. In the context of catalysis, robust optimization involves the development of catalytic processes and materials that perform well under different operating conditions, feedstocks, and potential disturbances.
