Page 2: Research news on Data-driven alloy design

Data-driven alloy design integrates computational methods, machine learning, and advanced manufacturing to create metallic alloys and composites with tailored properties. Emphasis is placed on metal 3D printing and related additive processes as platforms for controlling solidification, microstructure, and defect formation in systems such as aluminum, titanium, magnesium, high-entropy, and shape-memory alloys. By linking processing parameters, atomic-scale mechanisms, and multiscale models to mechanical, thermal, and environmental performance, this area accelerates discovery and optimization of structural and functional materials for demanding applications.

Energy & Green Tech

Seaweed-based ingredient helps turn dirt into 3D-printed walls

An ingredient that gives ice cream a creamier texture could make natural earthen materials like clay and sand easier to 3D print into durable structures, according to new research led by scientists at the University of Colorado ...

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