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AI predicts material properties using electron-level information without costly quantum mechanical computations
Researchers in Korea have developed an artificial intelligence (AI) technology that predicts molecular properties by learning ...
Heat-flow modeling at nanoscale investigated through two theoretical models
Keeping electronic devices cool is important when considering both their function and durability, as temperature influences ...
Physics World8h
The different ways of ordering electrons in two dimensional materials.
Researchers from the University of Hong Kong studying the structure of 2D materials have predicted new types of phase transitions that have yet to be seen in experiments ...
Physics World1d
New mechanism explains behaviour of materials exhibiting giant magnetoresistance
"Remarkable" new model of quantum double-exchange ferromagnets could produce fresh insights into these ...
Metal AM magazine1d
QuesTek expands ICMD platform with advanced titanium alloy modelling for aerospace
QuesTek has introduced new titanium alloy modelling capabilities within its Integrated Computational Materials Design (ICMD) ...
IEEE4d
A Dynamic Model for 2D Pantograph-Catenary Systems for Contact Tracking with Narrow Collector Head | IEEE Conference Publication | IEEE Xplore
This paper will present a 2D modelling of a PCS system and the preliminary results of 2D control performance and effort required in contact tracking by an active sliding pantograph. The 2D model will ...