In silico engineering increasingly relies on predictive, scale‑bridging simulations that couple mechanics with transport, electrochemistry, heat, and biological growth. Synthetic architected lattices, geomaterials, metamaterials, and living tissues, though chemically diverse, all display hierarchical heterogeneity, evolving microstructure, and strongly nonlinear interactions. Capturing such behaviour demands computational strategies that are simultaneously multiscale and multiphysics. This minisymposium will provide a dedicated forum to present and discuss advances that push these frontiers across synthetic and natural materials. We invite contributions on hierarchical and concurrent coupling schemes: molecular-to-continuum upscaling, FE², peridynamics, phase-field, DEM–FEM, and other hybrid particle-continuum approaches, etc. Similarly, we invite rigorous experimental validation pathways, data-driven surrogates, physics-informed neural operators, adaptive reduced-order models, and exascale/GPU implementations. Particular emphasis will be placed on tightly coupled phenomena: metamaterials, mechano-chemo degradation in (cementitious) composites; thermo-fluid-structure interaction in additive manufacturing and porous media; electro-mechanical actuation in soft robotics; diffusive-mechanical phenomena in fibrous and granular materials, and growth-remodelling processes in biological systems. The minisymposium has three objectives: (i) transfer algorithms and best practices across material domains to accelerate innovation and avoid redundant reinvention; (ii) benchmark emerging techniques for accuracy, efficiency, robustness, and uncertainty quantification, with encouragement for open‑source dissemination; and (iii) identify grand challenges from constitutive upscaling to real‑time high‑fidelity digital twins and inverse design that warrant coordinated community action. By catalysing dialogue between mechanicians, materials scientists, bioengineers, and data scientists, the session aims to stimulate collaborations that translate advanced modelling into safer infrastructure, more durable energy devices, and next‑generation biomedical interventions and monitoring. Diversity in geography, gender, career stage, and industrial engagement will be actively promoted when selecting speakers to ensure an inclusive, impactful exchange.