Computer scientists at the University of California San Diego have developed a method for generating highly realistic ...

The team's model incorporated a number of parameters ... "Our map reveals hard physics-based data about vulnerable areas, but it is up to the states and policy makers to decide the best approaches ...

This hybrid modeling approach integrates biological ... His approach combines physics-based models with the flexibility of data-driven components that can adapt and correct predictions based ...

A study found public-private partnerships to develop, produce and distribute COVID-19 diagnostic tests saved approximately 1.4 million lives and prevented an estimated 7 million patient ...

Our current research centers on computational modeling for simulating complex multiphysics biological processes with the full complexity of the human/animal anatomy for applications including ...

Now recent breakthroughs in computational modeling could cut years off the drug discovery process. Advanced physics-based computational methods and machine learning offer clear pictures of ...

But it’s hard to suss out how GenCast compares to physics-based models when it comes to sustainability without knowing how much energy is used to train the machine learning model. There are ...

Researchers say recent advancements with inertial confinement fusion bring us one step closer to making accessible nuclear ...

The three broad categories of plasma research—theoretical, computer simulation and laboratory studies—are all well-represented in the Physics Department. Institute for Modeling Plasma, Atmospheres and ...

The new technique, called Coadjoint Orbit FLIP (CO-FLIP), improves upon existing Fluid Implicit Particles (FLIP) methods by preserving two key physical properties of fluid motion: energy and ...