For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

As the demand for renewable energy grows, scientists are searching for better batteries that can store large amounts of ...

Blood pressure is a key metric of cardiovascular health, but standard methods for measuring it rely on occasional readings using inflatable cuffs, usually in a clinical setting. Today's blood pressure ...

Wind fields modeled by the authors’ physics-informed neural network (PINN) produces similar results to a Weather Research & Forecasting (WRF) simulation while using far fewer resources. WASHINGTON, ...

This research was published in the journal Science Advances.Discovery of flat-band 2D materials via physics-informed scoring ...

Researchers at The University of Manchester have developed a new computational approach to help identify two-dimensional ...

A new physics‑informed machine‑learning method could help researchers identify two‑dimensional materials with unusual ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Hurricanes, or tropical cyclones, can be devastating natural disasters, leveling entire cities and claiming hundreds or thousands of lives. A key aspect of their destructive potential is their ...