Before revision: In recent years, machine-learned force fields (ML-FFs) have gained increasing popularity in the field of computational chemistry. Provided they are trained on appropriate reference data, ML-FFs combine the accuracy of ab initio methods with the efficiency of conventional force fields.
After revision: In recent years, machine-learned force fields (ML-FFs) combine the accuracy of ab initio methods with the efficiency of conventional force fields.