The convergence of computational tools and materials science is revolutionising the way we design, model, optimise, and manufacture advanced materials. This mini-symposium will serve as a platform for researchers, engineers, and industry professionals to exchange knowledge on state-of-the-art computational approaches that accelerate materials innovation—from fundamental scientific discoveries to practical, real-world applications. We invite contributions on a broad range of topics, including but not limited to: • Computational Materials Innovation: AI-driven and physics-based methodologies for the design of novel materials, such as high-entropy alloys, composites, metamaterials, and multifunctional systems. • Multiscale and Multiphysics Modelling: Integrated frameworks linking atomistic, mesoscopic, and continuum-level simulations to capture material behaviour across length and time scales. • Digital Twins and Virtual Characterisation: In-silico experimentation, real-time data assimilation, predictive modelling, and machine learning for property prediction, validation, and decision-making. • Optimisation and Inverse Design: Computational strategies for microstructural design, performance enhancement, and manufacturing process optimisation. • Process Modelling for Advanced Manufacturing: Simulation and optimisation techniques for additive manufacturing, hybrid processing, and novel fabrication technologies. • AI and Data-Driven Approaches: The role of artificial intelligence, big data, and digital ecosystems in accelerating materials R&D pipelines. • Industrial Applications and Case Studies: Deployment of computational tools and digital twins in aerospace, biomedical, energy, and defence applications. This mini-symposium aims to foster interdisciplinary collaboration between academia and industry, promoting innovative solutions that push the boundaries of computational materials research and its impact on society.