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 ...
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 ...
Abstract: The development in machine learning (ML) technology has brought new horizons for the prediction of subglacial lakes (SLs) using radio-echo sounding (RES) data, offering fresh perspectives ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
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 ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In this article, we constructed a stacking model called ...
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