Modelling and Simulation in Materials Science and Engineering

Papers
(The H4-Index of Modelling and Simulation in Materials Science and Engineering is 15. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-09-01 to 2025-09-01.)
ArticleCitations
The effects of solute and deformation on the mobility of screw dislocation cores in bcc molybdenum70
A hybrid mesoscale-continuum approach to understand and predict melting kinetics of Al powders during laser processing50
Dislocation transport using a time-explicit Runge–Kutta discontinuous Galerkin finite element approach35
Evaluating the applicability of classical and neural network interatomic potentials for modeling body centered cubic polymorph of magnesium34
Minimization of melt-pool field variables fluctuation during selective laser melting of Ti6Al4V alloy through computational investigation33
A ReaxFF potential for Al–ZnO systems30
A novel 3D anisotropic Voronoi microstructure generator with an advanced spatial discretization scheme26
Atomistic study of intermetallics of Fe–Al–Zn system and their interfacial properties25
Analysing the shape memory behaviour of GnP-enhanced nanocomposites: a comparative study between experimental and finite element analysis22
Role of diffusing interstitials on dislocation glide in refractory body centered cubic metals21
Solute segregation in a moving grain boundary: a phase-field approach20
Investigating the influence of topology on elastic properties in spinodal microstructures19
Research on anisotropy of elliptical vibration-assisted nano-cutting of single crystal silicon16
Emergence of rapid solidification microstructure in additive manufacturing of a Magnesium alloy16
Boundary plane-oriented grain boundary model generation16
Anisotropic strength behavior of single-crystal TATB15
Atomistically informed dislocation dynamics simulations: application to dislocation-loop interactions in zirconium15
Crystal structure identification with 3D convolutional neural networks with application to high-pressure phase transitions in SiO215
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