activity
20192022
most citedThe Hierarchical Potential Energy Landscape of Screw Dislocation Motion in Refractory High-entropy Alloys

78 citations · 106 across the 7 of their papers we have counts for

collaborators

8 papers

cond-mat.mtrl-sci20227 cited

An effective anisotropic visco-plastic model dedicated to high contrast ductile laminated microstructures: Application to lath martensite substructure

V. Rezazadeh, R. H. J. Peerlings, F. Maresca +2

In particular types of layer- or lamellar-like microstructures such as pearlite and lath martensite, plastic slip occurs favorably in directions parallel to inter-lamellar boundari…

cond-mat.mtrl-sci20223 cited

Influence of orientation-dependent lath martensite yielding on the hardening behavior of quenched martensitic steels

V. Rezazadeh, R. H. J. Peerlings, J. P. M. Hoefnagels +2

The onset of plasticity in quenched martensitic microstructures is characterized by a low initial yield stress followed by an extremely strong initial hardening response, and then…

cond-mat.mtrl-sci20223 cited

Extensive anisotropic lath martensite plasticity in dual-phase steels: A numerical-experimental investigation

V. Rezazadeh, R. H. J. Peerlings, T. Vermeij +3

This work presents a detailed experimental-numerical analysis of a low-carbon dual-phase steel microstructure, revealing evidence of significant anisotropic plastic deformation in…

cond-mat.mtrl-sci20222 cited

Atomistic fracture in bcc iron revealed by active learning of Gaussian approximation potential

Lei Zhang, Gábor Csányi, Erik van der Giessen +1

The prediction of atomistic fracture mechanisms in body-centred cubic (bcc) iron is essential for understanding its semi-brittle nature. Existing atomistic simulations of the crack…

cond-mat.mtrl-sci202278 cited

The Hierarchical Potential Energy Landscape of Screw Dislocation Motion in Refractory High-entropy Alloys

X. Wang, F. Maresca, P. Cao

High-entropy alloys (HEAs) with concentrated solid solutions are conceived to possess a rugged atomic and energy landscape in which dislocation motion necessarily proceeds to accom…

cond-mat.mtrl-sci20214 cited

Atomistic Graph Neural Networks for metals: Application to bcc iron

Lorenzo Cian, Giuseppe Lancioni, Lei Zhang +4

The prediction of the atomistic structure and properties of crystals including defects based on ab-initio accurate simulations is essential for unraveling the nano-scale mechanisms…