Tech Xplore on MSN
Flaws become reinforcements: Engineered crystal defects strengthen metals without changing their chemistry
Scientists have found a way to use defects in crystals to engineer stronger materials, according to a new study.
Ohio State researchers have shown that organizing crystal defects into dense, ordered networks can strengthen metal alloys ...
A major review in the Journal of Materials Science argues that process-induced defects in carbon-fibre composites act as interacting perturbation fields whose non-additive effects render conventional ...
By engineering dense networks of atomic-scale defects, researchers strengthen metal alloys and improve their resistance to ...
In the realm of engineering and material science, detecting hidden structures or defects within materials is crucial. Traditional terahertz imaging systems, which rely on the unique property of ...
Much of modern electronic and computing technology is based on one idea: add chemical impurities, or defects, to semiconductors to change their ability to conduct electricity. These altered materials ...
Sometimes, in creating an alloy out of multiple metals, defects and structural instability can occur in the material. Now, researchers are harnessing those imperfections to make the material stronger ...
8don MSN
Faster molecular simulations identify promising diamond defects for quantum computers and sensors
A faster way of finding the best diamond-based materials for quantum computers has been developed by a researcher at the U.S.
This article predates Brown Brothers Media’s ownership of Science Blog and has not been reviewed under our current editorial process. It is preserved as part of the publication’s archive. Zetian Mi ...
11don MSN
Ultraviolet laser pulses engineer diamond defects selectively, leaving quantum qubits intact
When we think about a diamond, we often think about a material whose value comes from its perfection. In my research, however ...
Artificial intelligence is increasingly reshaping how laboratories model complex material systems. A new finding from researchers at Chungnam National University shows how AI defect prediction in ...
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