Novikov, Ivan S.Grabowski, BlazejZotov, Nikolay2021-03-182021-03-182021http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-113679http://elib.uni-stuttgart.de/handle/11682/11367http://dx.doi.org/10.18419/opus-11350In this report we describe a bias potential for add-atom global hyperdynamics on the basis of machine-learning (ML) interatomic potential (namely, Moment Tensor Potential, MTP). We compare the results obtained using the ML-bias potential with the ones obtained with conventional bond-boost bias potential. We also discuss possibilities for construction of a ML-bias potential for acceleration a migration of straight screw dislocation.eninfo:eu-repo/semantics/openAccess530Application of machine-learning for construction of bias potential: a case study of add-atom hyperdynamics and straight screw dislocation migrationreport