Additive manufacturing of alloys has enabled the creation of machine parts that meet the complex requirements needed to ...
Will the application of AI reduce staff in pursuit of efficiency, or can we design systems that preserve human dignity, ...
High-entropy materials (HEMs) have attracted considerable research attention in battery applications due to exceptional properties such as remarkable structural stability, enhanced ionic conductivity, ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Beta will be retiring the famous EVO name, with an all-new trials range called SINCRO rolling out for 2026, with the brand ...
The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, ...
Probabilistic Ising machines (PIMs) are advanced and specialized computing systems that could tackle computationally hard ...
Abstract: This article presents an outer-rotor hybrid-excitation flux-switching (OR-HEFS) machine with E-type stator cores, specifically designed for electric vehicle (EV) applications. To address the ...
The most critical aspect of machine design? Material selection, according to Cameron Washak, engineering standards and ...
In light of the problems of large operation resistance and small soil fragmentation during the harvesting operations of existing cassava harvesters, a long- and short-toothed digging shovel was ...
Abstract: This paper presents a systematic comparative design study of permanent magnet assisted synchronous reluctance (PMaSyR) machines for a light traction application aimed at considering an ...
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