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Новости за 26.11.2024

Phys.org 

Three ways to track Venusquakes, from balloons to satellites

Instruments aboard robotic landers have measured seismicity on the moon and Mars, helping researchers learn about the inner workings of those celestial bodies. But the internal makeup of Venus is still not known, in part because high winds and blistering temperatures make it significantly more difficult to detect quakes on the second planet from the sun.

Phys.org 

NOAA research predicts an increase in active Atlantic hurricane seasons

Tropical cyclones are among the most deadly and costly natural disasters that affect the United States and many other countries each year. This has led the scientific community to prioritize improving tropical cyclone prediction and the understanding of how tropical cyclone activity has changed and will change in the future.

Phys.org 

High-entropy-alloy catalyst boosts propane dehydrogenation efficiency

A research team from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences has recently developed a Pt-based high-entropy-alloy (HEA) catalyst that significantly enhances the efficiency of propane dehydrogenation (PDH), a critical process for producing propylene, which is a major chemical building block. The study was published in Angewandte Chemie International Edition.

Phys.org 

Scientists pioneer novel heat-to-electricity conversion in semimetal WSi₂

Thermoelectric materials, which convert heat into electricity, are valuable tools for capturing waste heat and turning it into usable electricity. These materials are especially useful in industries and vehicles where engines produce a lot of waste heat, improving energy efficiency by converting it into additional power. They also exhibit potential for portable power generation, in remote sensors and satellites where traditional power sources may be impractical.

Phys.org 

Predicting the weather: New meteorology estimation method aids building efficiency

Due to the growing reality of global warming and climate change, there is increasing uncertainty around meteorological conditions used in energy assessments of buildings. Existing methods for generating meteorological data do not adequately handle the interdependence of meteorological elements, such as solar radiation, air temperature, and absolute humidity, which are important for calculating energy usage and efficiency.