Composed of five or more elements in nearly equal amounts, high-entropy alloys (HEAs) have emerged as promising catalysts due ...
The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion ...
Magnetic domains can take on a wide range of structures. In certain soft magnetic materials, they form complex zig-zag ...
Composed of five or more elements in nearly equal amounts, high-entropy alloys (HEAs) have emerged as promising catalysts due ...
Maze magnetic domains in soft magnetic materials strongly influence energy loss in electric motors, particularly at high ...
Researchers develop a new computational model that helps identify origin of complex magnetization reversal in soft magnets.
The rapid increase in electric vehicle adoption in recent years has highlighted a crucial issue: the energy conversion efficiency of electric motors ...
Dynamite Blockchain Corp. (the "Company" or "Dynamite") is pleased to provide a comprehensive development update on its first Blockchain Ecosystem Product Offering, its "Dynamite Wallet" - an ...
In lecture halls, newsrooms, and marketing departments, a new kind of “spot-the-impostor” game is underway. Educators worry ...
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Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Physicists have taken a major step toward using AI not just to analyze data, but to uncover entirely new laws of nature. By ...
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