Research news on Computational additive manufacturing

Computational additive manufacturing integrates digital design, simulation, and control with 3D and 4D printing processes to create structures with precisely programmed geometry, composition, and function. Methods span multimaterial extrusion, vat photopolymerization, volumetric and holographic printing, and bio- and food-printing, often coupled to AI-driven design tools, topology optimization, and process monitoring. A major emphasis is on architected and origami- or textile-inspired mechanical metamaterials, soft robots, and functional devices whose mechanical, optical, electromagnetic, or morphing behavior is encoded at the meso- and microstructural level.