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Updates every hour. Last Updated: 27-Oct-2026 17:16 ET (27-Oct-2026 21:16 GMT/UTC)
Viscosity is a fundamental property that determines how easily a material flows, affecting systems from industrial materials to the Earth's deep interior. Yet, scientists have rarely considered whether viscosity has an upper limit because high-viscosity materials are usually rock-forming minerals outside fluid dynamics studies. Now, a Japanese researcher has combined Earth observations, laboratory experiments, and numerical simulations to estimate a physically meaningful upper viscosity bound of 1030±2 Pa s, with implications for geophysics and materials.
Researchers at the University of Osaka have used machine learning to develop a systematic framework for structural descriptors in supercooled water. A neural network model was used to quantitatively assess the performance of 16 structural descriptors in differentiating between two states of water, a high-density liquid and a low-density liquid. The framework could be used to further our understanding of the anomalous behavior of water.
As artificial intelligence drives demand for faster and more energy-efficient hardware, ferroelectric memristors are attracting growing attention. A new review outlines how these devices combine memory, computation, and learning capabilities in a single platform, offering new opportunities for intelligent computing beyond the traditional von Neumann architecture.
In a comprehensive review published in Earth and Planetary Physics, researchers from Wuhan University synthesize recent advances in the climatological variations and complex driving mechanisms of the equatorial electrojet (EEJ). The study highlights how the daytime EEJ responds to E-region conductivity, atmospheric tides, and intense mid- and high-latitude electrodynamic disturbances.