The U.S. Department of Energy now has two major supercomputing systems aimed at accelerating fusion energy research through ...

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

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

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

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

Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

Evaluation of deep learning tools underscores the strengths, limitations and opportunities for next‑generation hybrid modeling.

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Methodology of the CondensNet model. CondensNet is a physically constrained DL parametrisation coupled with a climate dynamics engine to support hybrid modelling. The network architecture mainly has ...

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 ...

A milestone in biology has been achieved thanks to artificial intelligence (AI) machine learning and applied physics. A new peer-reviewed study by researchers affiliated with Harvard John A. Paulson ...