Hosted on MSN
Deep learning method enables efficient Boltzmann distribution sampling across a continuous temperature range
A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient sampling of the Boltzmann distribution across a continuous temperature ...
A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...
CO 2 in the deep Earth may be more active than previously thought and may have played a bigger role in climate change than scientists knew before, according to a study by the Hong Kong University of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback