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.

Electronics & Semiconductors

New polymer alloy could solve energy storage challenge

In the race for lighter, safer and more efficient electronics—from electric vehicles to transcontinental energy grids—one component literally holds the power: the polymer capacitor. Seen in such applications as medical ...

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