Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Abstract: Machine learning stands poised to revolutionize the process of scientific discovery across various disciplines. In this talk, we will introduce a state-of-the-art scientific machine learning ...
The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.
FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
A new synthesis of seismic research shows that artificial intelligence, when combined with physical principles, is rapidly ...
The use of better-quality data can improve the business case for a number of solar projects. Image: Photon Group. The integrity of a PV project largely depends on the quality of the solar, ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework that enables accurate thermal field inversion in chiplet-based packaging ...
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