Chemical reactions
on metal surfaces are important in various processes
such as heterogeneous catalysis and nanostructure growth. At moderate
or lower temperatures, these reactions generally follow the minimum
energy path, and temperature effects can be reasonably described by
a harmonic oscillator model. At a high temperature approaching the
melting point of the substrate, general behaviors of surface reactions
remain elusive. In this study, by taking hydrocarbon species adsorbed
on Cu(111) as a model system and performing extensive molecular dynamics
simulations powered by machine learning potentials, we identify several
important high-temperature effects, including local chemical environment,
surface atom mobility, and substrate thermal expansion. They affect
different aspects of a high-temperature surface reaction in different
ways. These results deepen our understanding of high-temperature reactions.