Our March issue is live!
Read about modular electrochemical synthesis, an end-to-end framework for reactivity in heterogeneous catalysis, and more! See our Collection on carbon capture, utilization, and storage processes.
Read about modular electrochemical synthesis, an end-to-end framework for reactivity in heterogeneous catalysis, and more! See our Collection on carbon capture, utilization, and storage processes.
A machine-learning-powered framework, CARE, enables the automated generation of reaction networks in heterogeneous catalysis. Integrating tasks routinely handled by computational scientists, CARE facilitates the fast prediction of experimental reaction rates and the elucidation of reaction mechanisms, enabling the systematic study of previously inaccessible processes.