Drive innovation in catalysis, reactivity, and degradation R&D with digital chemistry

Accelerate catalyst design and optimize chemical reactions at the atomic level

The need for new materials is urgent, driven by growing market demands and stringent environmental regulations. To meet these needs, scientists across industries are on the search for new catalytic and non-catalytic processes that help reduce energy requirements, eliminate unwanted byproducts, and improve the selectivity and reactivity of chemical reactions.

Schrödinger’s advanced computational tools offer solutions that accelerate the discovery of these next generation catalytic and non-catalytic processes through cutting-edge physics-based modeling, machine learning (ML), and collaborative informatics platform.