Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Deputy director of the School of Computing at the Australian National University, Amanda Barnard talks to Hamish Johnston about research at the interface of computational modelling, applied machine ...

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 ...

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia ...

Quantum chaos describes chaotic classical dynamical systems in terms of quantum theory, but simulations of these systems are limited by computational resources. However, one team seems to have found a ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster ...

In engineering, understanding how different elements of physics interact can make all the difference between a crappy design and superior performance. Whether designing the heating element of a kettle ...

Virtual reality Computational models put our understanding of the laws of physics to the test. But how much of the universe can we fit into a simulation? (Courtesy: iStock/agsandrew) As I write this, ...

Computational physics jobs involve calculations and formulas. It combines physics, computer science and applied mathematics in order to provide scientific solutions to realistic and often complex ...