Computational simulations of coronary artery blood flow, using anatomical models based on clinical imaging, are an emerging non-invasive tool for personalized treatment planning. However, current ...

In this work, we explore how generative modeling and operator learning can be applied synergistically to address three central challenges in turbulence: spatio-temporal super-resolution, forecasting ...

Keeping electronic devices cool is important when considering both their function and durability, as temperature influences material properties and energy flow. The temperature of "hot spots" that can ...

A new method for predicting how rainfall contributes to river flow across the entire US has been developed by an international team of scientists. The technique, which combines physics knowledge with ...