Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

It wasn't just data from maps, machines and rainfall readings that led CSIRO scientists to build Australia's most ...

The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize ...

In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...

The advancements in tactile perception and feedback technologies have propelled the interaction between humans and the ...

Enrique Rico Ortega and Sofia Vallecorsa explain how quantum computing will allow physicists to model complex dynamics, from ...

A computer simulation predicts that the Rubin Observatory will discover millions of previously undetected objects in the solar system.

Microwave kinetic inductance detectors (MKIDs) represent a class of low-temperature superconducting detectors employed for observing astronomical phenomena spanning the submillimeter through visible ...

The data-driven models, while offering relatively high simulation accuracy, often lack interpretability. This paper proposes a hybrid numerical method framework that integrates a numerical model and a ...

Modeling and simulation at the system level greatly increases the probability of achieving an optimized powertrain system. This article offers insight into designing high-efficiency ...