New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations ...

Automatic mesh generation, recognized as the "Holy Grail" of Computational Fluid Dynamics (CFD), was highlighted as a critical objective in the NASA ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Matthew Schwab, CEO of Stallion Uranium, added, “This survey represents a key technical milestone at Moonlite. The ...

Given the current state of practice and visions for the future (including AI), certain practices should be reevaluated. This ...

With PFITRE, Brookhaven scientists achieve breakthrough 3D imaging in nanoscale X-ray tomography, combining AI and physics ...

Building large-scale quantum technologies requires reliable ways to connect individual quantum bits (qubits) without ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

The demand for a professional labor force skilled in data analysis and statistical methods, alongside scientific computation and other applied mathematics techniques, and has grown tremendously over ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...