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
Researchers used Argonne's Advanced Photon Source to capture how the microstructure of metals evolves in real time during 3D printing. The findings could pave the way for advanced manufacturing of components for aerospace, ...
Sep 16, 2025
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Engineering
In the tug-of-war between order and chaos within multielemental carbides, entropy eventually claims victory over enthalpy by pushing the system toward complete disorder as the diversity of elements in the material increases, ...
Engineering
Most aluminum alloys made through additive manufacturing (AM) have very limited as-built ductility, which may lead to the adoption of more expensive, heavier alternative materials in applications such as automotive and aerospace ...
Sep 4, 2025
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Engineering
Students at ETH Zurich have developed a laser powder bed fusion machine that follows a circular tool path to print round components, which allows the processing of multiple metals at once. The system significantly reduces ...
Sep 3, 2025
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Robotics
The field of robotics has transformed drastically in this century, with a special focus on soft robotics. In this context, origami-inspired deployable structures with compact storage and efficient deployment features have ...
Aug 29, 2025
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Engineering
Engineers have long grappled with a fundamental challenge: creating materials that are both strong and tough enough to resist deformation and prevent fractures. These two properties typically exist in opposition, as materials ...
Aug 28, 2025
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Engineering
Scientists at Oak Ridge National Laboratory have advanced the use of DuAlumin-3D, an innovative aluminum alloy, in high-temperature automotive components, significantly expanding the possibilities of additive manufacturing.
Aug 27, 2025
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Engineering
A NIMS research team has discovered that the fatigue limit of steel is improved by prior cyclic deformation (fatigue) training. Based on this finding, the research team developed a novel pre-fatigue training technique, which ...
Aug 26, 2025
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Robotics
Henan University of Technology researchers report on the development of a lightweight lattice-based limb design for a bionic robot. Lightweight structures that can withstand high loads and torsion are in demand in a range ...
Software
Oak Ridge National Laboratory's Peregrine software, used to monitor and analyze parts created through powder bed additive manufacturing, has released its most advanced dataset to date.
Aug 25, 2025
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