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

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 ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

Researchers present a comprehensive review of frontier AI applications in computational structural analysis from 2020 to 2025, focusing on graph neural networks (GNNs), sequence-to-sequence (Seq2Seq) ...

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 partnership combines GPU-native physics simulation with cloud scalability, allowing engineers to run massive, high-fidelity simulations and generate the data needed to train Physics AI models.

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

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

Are some fields of study more theoretical than others? Indeed, it seems that some require only documentation to instill knowledge. On the other hand, it's difficult for future specialists in medicine, ...

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 ...