Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

The uncertainty related to physical parameters is a major challenge in numerical modeling. However, due to the large number of such parameters in numerical models, reducing the uncertainty for all of ...

Long-term changes in the large, shallow Lake Balaton served as empirical evidence for the developed model. Situated in Central Europe, the lake has experienced an increase of ca. 1˚C in annual mean ...

New artificial intelligence models for plasma heating can do more than was previously thought possible, not only increasing the prediction speed 10 million times while preserving accuracy but also ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

An experimental program using a 6 degree-of-freedom earthquake simulator at the University at Buffalo was executed to generate data for supporting validation of numerical models for seismic ...

Carnegie Mellon University researchers have developed numerical models that allow precise control of the 3D ice printing process in biomedical and manufacturing applications. The study has been ...

To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial ...

Although numerous lakes around the world have been showing an increase in annual mean temperature over the last few decades, it still remains difficult to assess long-term warming-related impacts in ...