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.

Engineering

A new way to watch heat move through electronics

The same overheating problem that happens to our laptops also plagues computer servers and data centers around the world—and heat management is only getting harder as computer chips get more compact and powerful.

Engineering

Are gas turbines ready for the hydrogen economy?

Can we fuel gas turbines with hydrogen instead of fossil fuels and cut 15% of global carbon dioxide (CO2) emissions? Gas turbines generate around 22% of the world's electricity. Replacing fossil fuels is a key step toward ...

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