A team of scientists claims a computational tool for studying black hole collisions could be our best bet for answering ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

The team argues that numerical relativity should be applied increasingly in cosmology to probe some of the universe's biggest questions–including what happened before the Big Bang, whether we ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui ...

Though the conventional FLOD-FDTD method excels in computational speed, it still has a limitation in accuracy. To address this issue, we integrated the optimized artificial anisotropy parameters into ...

Computational modeling could improve how scientists and planners understand and prepare for natural disasters on our coasts ...

According to Google, this system not only consistently reaches expert levels but often surpasses human capabilities. In ...

A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui ...

Education — teaching computational methods and numerical techniques in universities. Key capabilities of SciLab include: A MATLAB-like programming environment with script and function support. Rich ...

This important study characterises the morphogenesis of cortical folding in the ferret and human cerebral cortex using complementary physical and computational modelling. Notably, these approaches are ...