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 ...
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 ...
Researchers from the University of Cambridge recently demonstrated that ripple, a key property of 2D materials, affects fluid interactions, strength, conductivity, and chemical activity. Understanding ...
A study published in Molecules and led by researchers from the Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP) of the Chinese Academy of Sciences demonstrated how deep learning can ...
A new model measures defects that can be leveraged to improve materials' mechanical strength, heat transfer, and energy-conversion efficiency. (Nanowerk News) In biology, defects are generally bad.
Two-dimensional (2D) materials show great promise for photocatalysis, a key technology for sustainable energy solutions like water splitting. However, optimizing their performance requires precise ...
The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.
Quantum magnetometers can detect and visualize the tiniest damage in ferromagnetic materials. In aerospace technology or the automotive industry, they can help to significantly increase the resilience ...
Semiconductors may be small, but the impacts they have are significant. Semiconductors used in life-dependent applications, such as pacemakers, defibrillators, life support systems, automotive safety ...
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