High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
Rubrik Inc. (NYSE:RBRK) is among the best machine learning stocks to buy according to analysts. On February 9, Goldman Sachs cut its price target on Rubrik by one-third to $80 from $120 while ...
AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...
A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Abstract: Accurate and reliable detection of damage to offshore wind turbine blades (OWTBs) can enhance the reliability and safety of wind power generation systems. This article proposes a novel ...
WUXI, China, Nov. 21, 2025 (GLOBE NEWSWIRE) -- As the global energy transition accelerates, solid-state batteries are emerging as the next-generation energy storage technology, offering exceptional ...
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