RESEARCH
AI Agents Automate Quantum Amplifier Tuning to Accelerate Physics Research
Researchers are deploying reinforcement learning agents to optimize quantum-noise-limited parametric amplifiers, aiming to eliminate manual calibration bottlenecks.
physics
RESEARCH
Physics-Informed Neural Networks Accelerate Nanophotonic Material Design
Researchers in Sweden have developed a machine-learning framework that integrates electromagnetic laws to speed up the design of optical components.
RESEARCH
Los Alamos Researchers Apply Mori-Zwanzig Formalism to Turbulent Particle Dynamics
A new machine learning framework utilizes the Mori-Zwanzig formalism to model chaotic particle trajectories in turbulent flows, overcoming traditional computational barriers.
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