Author: Patricia DeLacey
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Model predicts best cooling and aging regimen to form strong alloys
A new multiscale materials modeling framework predicts microstructures to control the final strength of lightweight aluminum alloys for fuel-efficient vehicles.
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AI supports home-based balance training
New machine learning model draws data from wearable sensors to predict how a physical therapist would assess balance training performance.
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byLLM: adding AI to software without the prompt engineering
When using byLLM, developers completed tasks over three times faster and wrote 45% fewer lines of code when creating applications like chatbots and virtual assistants.
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Interpretable machine learning to accelerate nanocatalyst discovery
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.
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Large language models and research progress: A Q&A with Ricardo Vinuesa
Guidelines for responsible LLM use to help, not hinder, research progress.
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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.