The original version of this story appeared in Quanta Magazine. When she was 10 years old, Rose Yu got a birthday present that would change her life—and, potentially, the way we study physics. Her ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025 ...

Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...

Physics-informed neural networks (PINNs) represent a burgeoning paradigm in computational science, whereby deep learning frameworks are augmented with explicit physical laws to solve both forward and ...

Advances in artificial intelligence (AI) are now opening new possibilities for faster and more accurate flood mapping, ...

With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial ...

Fig. 1. Network structure and flow chart. (a) Schematic diagram of the physical model; (b) Basic structure diagram of the proposed network; (c) Image generation process of the physical model; (d) ...