The authors, led by Cheng-Chao Niu and colleagues, survey evidence from four modelling families: molecular dynamics (MD), which resolves atomic-scale cutting and interface processes; discrete dislocation dynamics (DDD), which tracks dislocation lines through particle fields; phase-field modelling (PFM), which captures microstructure evolution; and Kampmann–Wagner numerical (KWN) models, which describe particle size distributions during ageing. By comparing how each parameter shifts the transition between dislocation cutting of particles and bypass around them, the review builds a parameter-level map across alloy systems.

A central message is that several mechanisms push the effective resistance away from the uniform-array, single-radius estimates used in classical strengthening models. Lower-tail size statistics and soft-channel percolation lower the bypass threshold, meaning that the smallest particles and weakly reinforced paths in a distribution matter as much as the average radius. Off-centre slip-plane cutting reduces the local cross section a dislocation actually shears, and coherency loss at the particle–matrix interface can drive interface-mediated transformations that neither pure cutting nor pure bypass describes.

Modulus mismatch between particle and matrix emerges as another source of deviation, producing anomalous strengthening even for particles that are softer than the surrounding matrix. Because these effects act simultaneously, the review finds that the power-law superposition exponent used to combine mechanisms is state-dependent rather than a fixed material constant, changing with the alloy’s actual precipitate population and loading conditions.

Temperature and strain rate further move the boundary between shearing, bypassing and interface-mediated transformation, so a mechanism assignment valid at room temperature may not hold under hot working or high-rate loading. The review’s framing is explicitly computational: it synthesizes model results rather than new experiments, and it notes that experiments rarely separate the contributions of precipitate size, morphology, interface character, spatial distribution and external loading. Within that scope, the parameter-level view offers alloy designers a way to connect atomistic, mesoscale and microstructure-evolution evidence in a common picture and to identify which precipitate descriptor governs strength in a specific alloy state.

Subject of Research: Multiscale computational modelling of dislocation–precipitate interactions in precipitation-strengthened alloys

Article Title: Review: multiscale computational modelling of dislocation–precipitate interactions organized by precipitate parameters

Article References: Niu, C.-C., Shi, R.-H., Zhang, Y.-M., & Song, K.-X. (2026). Review: multiscale computational modelling of dislocation–precipitate interactions organized by precipitate parameters. Journal of Materials Science, 61(41), 31771-31804. https://doi.org/10.1007/s10853-026-13676-x

Image Credits: AI Generated

DOI: 10.1007/s10853-026-13676-x

Keywords: precipitation strengthening, dislocations, molecular dynamics, discrete dislocation dynamics, phase-field modelling, Kampmann–Wagner model, aluminium alloys, high-entropy alloys, cutting-to-bypass transition, coherency, modulus mismatch, computational materials science