Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

For nearly a century, some of the simplest questions in quantum theory have stubbornly resisted clean answers, turning basic ...

The physics of the spiral pass have baffled physicists and football fans for decades. EMILY KWONG, HOST: ...

For the millions of people living with end‑stage kidney disease, hemodialysis is more than a medical procedure, it is a ...

During his early 40s, Geisler was diagnosed with multiple sclerosis, a diagnosis that gave him a deeper insight into the problems caused by fragmented data-sharing platforms.

It’s said that life can imitate art. This usual means something happens in the real world that plays out like a novel or a ...

In 1930, a young physicist named Carl D. Anderson was tasked by his mentor with measuring the energies of cosmic ...

While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...

Generative AI is becoming ubiquitous in everyday life. Large language models like ChatGPT can help answer questions, write email, and solve problems at seemingly lightning speed, pulling from enormous ...

With board exams approaching, many students find numerical problems in Physics and Chemistry difficult and time-consuming. These questions test more than memory. They check whether a student ...

Abstract: This work presents a comparative study on the use of Physics-Informed Neural Networks (PINNs) combined with the Lattice Boltzmann Method (LBM) for solving direct and inverse problems in ...