A new article argues that the AMS-02 instrument on the International Space Station has evolved into a critical research infrastructure...

Researchers demonstrate that special perfect entanglers provide flexible strategic advantages in a quantized version of the classical Volunteers' Dilemma.

Researchers developed GAPPTANet, a physics-informed neural network predicting 180-second microwave ablation temperature fields in nonperfused liver tissue within milliseconds.

The Hybrid Adaptive Error Mitigation, or HAEM, method aims to address the specific challenge of calibration drift, a phenomenon where...

An experimental study led by researchers from Utrecht, Leiden, and Munich demonstrates that electron pairs can form at room temperature,...

A new meta-analytic review in Discover Space systematically outlines the dynamics, instabilities, and technological applications of plasma fireball sheaths, distinguishing...

Researchers have developed a physics-informed neural network that converts existing fiber-optic cables into highway traffic sensors by embedding flow equations...

Researchers from Southeast University and Monash University have developed a physics-informed control framework combining sensor fusion, model predictive control, and...

Researchers have demonstrated that grading the Seebeck coefficient inside bismuth telluride single crystals creates directional cooling that boosts maximum temperature...

Franz Josef Schreiber, a doctoral researcher in Jens Eisert's quantum physics group at Freie Universität Berlin, has received a Google...