Page 10: 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

3D printing reshapes construction for nuclear energy

In a bold step toward transforming how nuclear infrastructure is built, the Department of Energy's Manufacturing Demonstration Facility, or MDF, at Oak Ridge National Laboratory, in partnership with Kairos Power and Barnard ...

Engineering

3D-printed steel capsules endure nuclear reactor testing

The Department of Energy's Oak Ridge National Laboratory set a new milestone in nuclear component innovation, successfully testing two 3D-printed stainless steel experimental capsules at the lab's High Flux Isotope Reactor, ...

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