Modelling and Simulation in Materials Science and Engineering

Papers
(The H4-Index of Modelling and Simulation in Materials Science and Engineering is 16. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Capturing shrinkage and neck growth with phase field simulations of the solid state sintering58
Simulation of pit interactions of multi-pit corrosion under an anticorrosive coating with a three-dimensional cellular automata model50
Stochastic model of accelerated cooling of eutectoid steel rails34
Two-stage feature selection for machine learning-aided DFT-based surface reactivity study on single-atom alloys31
First-principles and machine learning modeling on adsorption of atmospheric gases on two-dimensional Ruddlesden–Popper halide perovskite surface30
Molecular dynamics simulations of screw dislocation mobility in bcc Nb27
The effects of solute and deformation on the mobility of screw dislocation cores in bcc molybdenum27
A ReaxFF potential for Al–ZnO systems22
Dislocation transport using a time-explicit Runge–Kutta discontinuous Galerkin finite element approach21
Phase field crystal model for particles with n-fold rotational symmetry in two dimensions20
Identification of texture characteristics for improved creep behavior of a L-PBF fabricated IN738 alloy through micromechanical simulations20
Multi-physics simulation of mechano-electrochemical bidirectional coupling interaction of galvanic corrosion between Al alloy and 316L SS19
Do we really need machine learning interatomic potentials for modeling amorphous metal oxides? Case study on amorphous alumina by recycling an existing ab initio database19
Fastening solutions on composite structures: model and verifications of contact with friction, progressive composite damage, and ductile metal damage18
Micro-scale study of microcapsule cracking performance based on XFEM and fluid cavity model17
Utilizing integrated neutron diffraction and elastoplastic self-consistent crystal plasticity model to quantitatively assess the strengthening mechanism in Al–12.5Ce and Al–12.5Ce–0.4Mg alloys16
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