Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

New math model controls biological noise at single-cell level, offering a path to tackle cancer relapse and drug resistance.

Why does cancer sometimes recur after chemotherapy? Why do some bacteria survive antibiotic treatment? In many cases, the ...

FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

Abstract Automatically assessing handwritten mathematical solutions is an important problem in educational technology with practical applications, but ...

Right at the brink of a black hole, gravity twists space and time so violently that ordinary physics starts to fall apart.

The positioning, navigation, and timing (PNT) information is fundamental to modern information systems. Over the years, people have invented many navigation systems to get PNT information, whereas ...

Alonso breaks down how advances in computational fluid dynamics and physics AI are enabling designers to simulate complex aerodynamic behavior in seconds, dramatically accelerating how rockets, ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever before. By combining Einstein’s gravity with realistic behavior of light and ...