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Based on the first-principles neural network potential and kinetic simulations of metal-support pairs, researchers identified the appropriate metal–support interaction (MSI) descriptor by theoretical calculation.
By revealing the linear relationship between cohesive energy Ec and the adhesion energy Eadh, they found that too strong of an interaction would trigger Ostwald ripening, while too weak of an interaction would stimulate particle migration and coalescence (PMC). Both situations led to nanocatalyst deactivation, and the optimal MSI thus should be neither too strong nor too weak. This theory bridged the large gap between the sintering kinetics and the underlying MSI.
"This is an extremely creative, thoughtful and in-depth and huge research contribution. I congratulate the authors in the tour-de-force,” Prof. Charles T. Campbell, honorary fellow of the Chinese Chemical Society (CCS), said. This is also the first theory proposed by Chinese scientists to guide the design of heterogeneous metal nanocatalysts. The rational design of nanocatalysts is of great value to nanoscience.
Prof. LI Weixue (left) and Dr. HU Sulei (right). (Image by LIU Yangfan and QIAN Jianhao)