Scientists from the National University of Singapore (NUS) have discovered that atomic-scale substitutional dopants in ultra-thin two-dimensional (2D) materials can act as stable quantum systems ...

A detailed look at the Devon Flanagan case, where a brilliant attorney general lectured a law enforcement officer on legal matters moments before being taken into custody. Full breakdown of the events ...

Astronomers found evidence that dark matter and neutrinos may interact, hinting at a "fundamental breakthrough" that ...

On a December day, Richard Feynman gave a fun little lecture at Caltech — and dreamed up an entirely new field of physics. During the talk, entitled "Plenty of room at the bottom," he described the ...

Sometimes to truly study something up close, you have to take a step back. That's what Andrea Donnellan does. An expert in Earth sciences and seismology, she gets much of her data from a bird's-eye ...

Quantum state diffusion framework makes it possible to characterize quantum measurement in terms of entropy production ...

Where next? Quantum metrology, fusion and medical physics are three hot topics to be featured on Physics World Live this year. (Courtesy: iStock/shutter_m) I used to set myself the challenge every ...

A thin flake of ordinary carbon, just one atom thick, lies behind this year's Nobel Prize in Physics. Andre Geim and Konstantin Novoselov have shown that carbon in such a flat form has exceptional ...

Gaetan Simian: PhD student (co-direction with Anthony Conway ), started February 2023. Miguel Orbegozo Rodriguez: postdoc, started September 2025. Livio Ferretti: postdoc, September 2023-February 2025 ...

The Martin A. Fisher School of Physics enjoys an international reputation for excellence in research, and is one of the highest-ranked of its size in the country. The department offers rigorous ...

Computer science is the study and development of the protocols required for automated processing and manipulation of data. This includes, for example, creating algorithms for efficiently searching ...

Abstract: In recent years, deep learning (DL) techniques have emerged as a transformative paradigm for solving geophysical inversion problems, leveraging their powerful nonlinear mapping capacities ...