A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and ...
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AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
(Nanowerk News) Halide perovskite is perhaps the most promising candidate for next-generation solar cells, with the efficiency quickly approaching that of commercial silicon cell but at a much lower ...
A research team from Skoltech, Ben-Gurion University of the Negev, N.M. Emanuel Institute of Biochemical Physics RAS, and other scientific organizations have studied the effect of various types of ...
When a material fails, it can have devastating consequences – making bridges collapse or pipelines explode. Tomas Martin and Stacy Moore describe how innovative and complementary microscopy and ...
Advancements in nanotechnology fabrication and characterization tools have facilitated a number of developments in the creation of new two-dimensional (2D) materials and gaining and understanding of ...
To further shrink electronic devices and to lower energy consumption, the semiconductor industry is interested in using 2D materials, but manufacturers need a quick and accurate method for detecting ...
A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...
AMES, Iowa – Materials engineers don’t like to see line defects in functional materials. The structural flaws along a one-dimensional line of atoms generally degrades performance of electrical ...
Semiconductors may be small, but the impacts they have are significant. Semiconductors used in life-dependent applications, such as pacemakers, defibrillators, life ...
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