The application discloses a design method and
system of a two-dimensional material loaded
metal monatomic catalyst, comprising the following steps: firstly, generating a substrate structure by using a random strategy, a
space group and
graph theory; then, removing and optimizing the substrate structure according to atomic environment and
lattice constant comparison; then, confirming a stable substrate structure by using a density functional
perturbation theory method and ab initio
molecular dynamics calculation; then, loading a monatomic
transition metal on the substrate to obtain a monatomic catalyst model, and constructing a catalyst attribute
database by using
first principle calculation; finally, designing a monatomic catalyst by
machine learning and
database interpretation analysis. The application can quickly obtain a target two-dimensional material loaded
metal monatomic catalyst by combining high-
throughput screening method,
first principle calculation and
machine learning.