One of the great successes of 20th-century physics was the quantum mechanical description of solids. This allowed scientists to understand for the first time how and why certain materials conduct ...
Researchers at ETH Zurich have shown, for the first time with very high time and spatial resolution, that electrons in ...
The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...
MEMS-based accelerometers are increasingly deployed in harsh environments where mechanical stress is not just expected but constant.
Finding could have applications in acoustic-levitation-assisted 3D printing, mid-air chemical synthesis and micro-robotics ...
While liver stiffness measurement by vibration-controlled transient elastography with a 25 kPa threshold might detect CSPH, the overall low quality of the studies means that these results are not very ...
Abstract: This paper introduces an Outer Approximation (OA) method for solving discrete AC Optimal Power Flow (OPF) problems that account for switching decisions. The OPF problem is formulated via the ...
He works in mysterious ways.
Abstract: Reinforcement Learning is a branch of machine learning to learn control strategies that achieve a given objective through trial-and-error in the environment ...
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