Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...

The currents of the oceans, the roiling surface of the sun, and the clouds of smoke billowing off a forest fire—all are ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Researchers at the University of Tartu's Institute of Physics have developed a new technique to improve the quality of ...

Simplify complex physics calculations and accelerate your problem-solving process with a powerful Python calculator. In this video, you’ll learn how Python can streamline your physics workflow by ...

We are glad that Isomorphic is helping advance the field and are able to match the level of performance we demonstrated at the ARDD conference in Copenhagen last August. In August, Deep Origin ...

Cementitious materials and geomaterials are fundamental components of civil and geotechnical infrastructure systems and play ...

The team used an AI method known as equation discovery to develop a model to simulate the interactions between small eddies—circular, vortex-like currents—and large-scale ones. These interactions are ...

A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.