While most planets that we are familiar with stick relatively close to their host star in a predictable orbit, some planets ...

Researchers working on China's fully superconducting Experimental Advanced Superconducting Tokamak (EAST) have experimentally ...

Cacio e pepe pasta and boiled eggs were the subjects of meticulous studies aiming to help cooks achieve perfection, but the ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

The Deputy CISO blog series is where Microsoft Deputy Chief Information Security Officers (CISOs) share their thoughts on what is most important in their respective domains. In this series, you will ...

Researchers created scalable quantum circuits capable of simulating fundamental nuclear physics on more than 100 qubits. These circuits efficiently prepare complex initial states that classical ...

Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? Here’s what you’ll learn when you read this story: Graphene is stronger than steel ...

Structural chirality refers to the geometric property of objects that are not superimposable on their mirror images, a concept that is central to organic chemistry. In contrast, topological chirality ...

Abstract: To achieve fast and accurate modeling of electrically large targets, this article proposes a physics-data hybrid-driven surface current learning method (PdEgatSCL), which can learn combined ...

Abstract: As a well-known graph embedding method, Graph Convolutional Networks (GCNs) have been widely applied to recommendation systems and social media analysis, in which privacy concerns regarding ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...