Unsupervised tracking of local and collective defects dynamics in metals under deformation

M Mattia Perrone (Department of Applied Science and Technology, Politecnico di Torino , Corso Duca degli Abruzzi 24, 10129 Torino,) M Matteo Cioni (Department of Applied Science and Technology, Politecnico di Torino , Corso Duca degli Abruzzi 24, 10129 Torino,) M Massimo Delle Piane (Department of Applied Science and Technology, Politecnico di Torino , Corso Duca degli Abruzzi 24, 10129 Torino,) G Giovanni M. Pavan (Department of Applied Science and Technology)

Abstract

Metals owe their unique mechanical properties to how defects emerge and propagate within their crystal structure under stress. However, the mechanisms leading from the early emerging (local) defects to the amplification of dislocations (collective plastic events) are not easy to track. Here, using tensile-stress atomistic simulations of a copper lattice as a case study, we revisit this classical problem under a new perspective based on local dynamics rather than on purely structural arguments. We use a data-driven approach that allows tracking how local fluctuations emerge and accumulate in the atomic lattice in space and time, anticipating/determining the emergence of local or collective structural defects during deformation. Building solely on the general concepts of local fluctuations and spatiotemporal fluctuation correlations, this approach allows characterizing in a unique way the evolution through the elastic, plastic, and fracture phases, describing metals as complex systems where collective phenomena originate from local dynamical triggering events.

Article Details

Volume / Issue Vol. 162, Issue 21
Published June 07, 2025
ISSN 0021-9606
Publisher American Institute of Physics

Journal Info

The Journal of Chemical Physics

American Institute of Physics

ISSN: 0021-9606 Physical Sciences

Authors (4)

M

Mattia Perrone

Department of Applied Science and Technology, Politecnico di Torino , Corso Duca degli Abruzzi 24, 10129 Torino,

M

Matteo Cioni

Department of Applied Science and Technology, Politecnico di Torino , Corso Duca degli Abruzzi 24, 10129 Torino,

M

Massimo Delle Piane

Department of Applied Science and Technology, Politecnico di Torino , Corso Duca degli Abruzzi 24, 10129 Torino,

G

Giovanni M. Pavan

Department of Applied Science and Technology