Computational design is redefining how ceramic parts are conceived, fabricated, and optimized. Traditionally constrained by brittleness and complex processing, ceramics are entering a digital paradigm in which design algorithms and additive manufacturing jointly control structure and function. This review presents computational design as a unifying framework linking process parameters, geometry, microstructure, and performance in architected ceramics. By integrating simulation, optimization, and data-driven modelling, ceramic components can now be engineered so that architecture, rather than composition alone, governs properties. We examine the evolution from topology and field-driven optimization to generative and AI assisted approaches, highlighting their impact across mechanical, thermal, and functional applications. Attention is given to closed-loop workflows connecting design, manufacturing, and validation. Multiscale modelling, limited data availability, and process integration, are discussed alongside emerging opportunities such as physics-informed artificial intelligence and digital twins. These advances position ceramics within a new, fully integrated, process–structure–property–performance design space.
Pelanconi et al. (2026) studied this question.