A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...
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AI model extracts hidden semiconductor properties from simple transistor tests in under 1 millisecond
A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...
Framework materials such as metal–organic frameworks, covalent organic frameworks, and hydrogen–bonded organic frameworks have evolved significantly over the past two decades. Thanks to their highly ...
Course Description: The focus of this course is to provide a physical basis linking the structure of materials with their properties, with a focus on metals. This course covers topics including ...
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