During the Triassic, a newly described species related to modern crocodiles and alligators stalked prey on land, not the water, a new study finds.

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The use of artificial intelligence has enabled researchers at the National Laboratory of the Rockies (NLR) to gain a greater understanding of two-dimensional (2D) materials that can be useful for energy storage, water purification, and advanced electronics.

Models of glacial flow and retreat rely on estimates of glacial ice viscosity, the measure of the ice's resistance to flow. Ice viscosity is dependent on the stress applied to the glacier. Most ice sheet models use a standard equation to model ice flow that includes the variable n, called the stress exponent. A larger value of n means ice viscosity is more sensitive to changes in stress. For decades, glaciologists have, almost exclusively, used an assumed n value of 3 in the models they use to predict ice flow.

The University of Wyoming's Lauren Kim has solved a persistent problem in the cutting-edge field of high-entropy alloys, a class of materials with great potential in modern engineering, electronics and energy applications—such as jet engines, nuclear reactors, chemical processing systems, batteries and supercapacitors—along with cryogenics systems.