Green hydrogen is a key area of opportunity in the energy transition. However, the use of pipelines to transport this energy ...

For decades, relaxor ferroelectrics have powered everything from medical ultrasounds to sonar systems, yet their inner atomic ...

Michal Kopera, associate professor of mathematics and director of the Numerical Modeling Lab, or NUMO Lab, has been awarded a ...

GOES-East satellite observations and machine learning have, for the first time, connected this observed structure to the much ...

In today’s fast-evolving industrial landscape, companies are under constant pressure to build a workforce that is skilled, ...

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

Physicists at the University of Illinois Urbana-Champaign are now testing quantum simulations of these so-called strong-field QED (SFQED) processes, recently translating several processes into the ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of ...

Design engineering is running headfirst into a materials bottleneck. Industries such as automotive, aerospace, electronics, and semiconductors now depend on increasingly complex materials. Yet ...

Abstract: The distribution of metro stray currents is commonly calculated using CDEGS software. However, traditional dynamic simulation methods for stray currents in CDEGS involve considerable effort ...

Abstract: Imaging of fracture morphology and orientation through acoustic remote detection technology is crucial for the efficient exploration and development of fractured reservoirs. The 2-D elastic ...

Existing photovoltaic (PV) output simulation methods often rely on artificial neural networks for short-term forecasting, and there has been a struggle to capture long-term patterns and stochastic ...