Author: Patricia DeLacey
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AI for studying turbulence: A fresh look at an unsolved physics problem
Explainable AI helps find key drivers of turbulence, offering new insights that could improve flight safety and industrial efficiency.
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Harnessing intricate, self-organized plasma patterns to destroy PFAS
The first images of plasma-water interactions reveal the electrical forces that could help manipulate patterns to treat larger volumes of drinking water more affordably.
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From waste to asset: Turning ethanol production CO₂ into jet fuel
Manufacturing sustainable aviation fuel with CO₂ byproducts of ethanol production could reduce carbon intensity by more than 80% compared to fossil fuels.
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A common language to describe and assess human-agent teams
Using a new taxonomy, an analysis of testbeds that simulate human and autonomous agent teams finds a need for more complex testbeds to mimic real-world scenarios.
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New process layers uniform ScAlN on 3D surfaces
Scandium aluminum nitride can now be integrated into high-voltage, high-frequency or piezoelectric devices with plasma-enhanced atomic layer deposition.
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Between rain and snow, machine learning finds 9 precipitation types
Leveraging 1.5M minutes of precipitation data and a nonlinear method to handle complex relationships between variables, the team created a new classification system
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Nuclear microreactor controller offers autonomous load following
Rooted in physics, not AI, the new control algorithm autonomously adjusts reactor thermal power in high-fidelity simulations with 0.234% error while adhering to safety constraints.
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Conquering Disorder: Modeling a solid with liquid-like ion movement
A new method reveals copper selenide’s elusive electrical properties and vibrational patterns, moving towards thermoelectric generators, solid-state batteries or silent fridges.
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Simulated humanoid robots learn to hike rugged terrain autonomously
Now able to learn locomotion and navigation together, robots develop balanced gaits and safe routes.
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Winning the “Nobel Prize” of computing
The world-changing AI research of Andrew Barto (PhD CSE ’75).
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Nano-switch achieves first directed, gated flow of excitons
Moving excitons with light and a nano-ridge could help bridge optics and electronics, enabling new devices and faster, more efficient communication.
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Woven metamaterials inspired by baskets for stiff, resilient robots
Able to undergo repeated compressions without losing their shape, woven materials could form robots, exoskeletons, car parts, architectural components and more.