Physics-informed neural networks (PINNs) often struggle to solve stiff partial differential equations (PDEs) with moving boundaries, such as convection-dominated droplet drying with shrinking domains ...

Photonic time crystal research takes a new turn: Harbin Institute of Technology physicists showed a common gas discharge tube ...

This study systematically investigates intermittent large-amplitude oscillations across all three state variables of the memristive Hindmarsh–Rose neuron model. The large-amplitude excursions, arising ...

Network synchronization researchers at Universitat Rovira i Virgili show that ordinary pairwise networks generate ...

Researchers in Shanghai have developed a hybrid NMPC–LQR controller that lets two-wheeled self-balancing wheelchairs recover ...

At the Los Alamos National Laboratory, Mary Tsingou Menzel’s computer programming helped set the stage for chaos theory and other fields.

They found that different flow regimes strongly influence ice sheet deformations, producing localized patterns at lower flow speeds and wake-like patterns when speeds increase. These results suggest ...

Researchers demonstrate how amplified fluctuations from squeezed light enhance quantum sensing, leveraging multiphoton ...

A hybrid quantum–classical feedback protocol on a superconducting processor has revealed and stabilized regular trajectories ...

Sometimes nothing being wrong feels suspicious when your nervous system has spent years preparing for something to go wrong.

OpenAI’s trove of new math results doesn’t fully solve any of these highly prestigious open questions, but it seems to make ...

Reconstructing fluid behaviour from limited sensor readings is now possible without step-by-step calculations prone to error.