Dr. Scott Simpson, professor of Chemistry and chair of the Department of Chemistry, is a co-author of a newly accepted paper ...

To prepare for extreme heat waves around the world -- particularly in places known for cool summers -- climate-simulation models that include a new computing concept may save tens of thousands of ...

Rising energy transmission needs are evolving pipelines into integrated, coupled Energy Transportation Systems (ETS), where ...

The field of robotics is undergoing a profound transformation driven by rapid advances in artificial intelligence, particularly large language models and ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...

Classical computations rely on binary bits, which can be in either of the two states, 0 or 1. In contrast, quantum computing is based on qubits, which can be 0, 1, or a superposition or entanglement ...

Researchers have developed GAME, a novel AI technique that significantly enhances modeling of the universe’s evolution by ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine ...

EMI standards needed to ensure compatibility. EMI reduction methods that can be applied to power modules. This article offers ways to reduce and even avoid electromagnetic interference (EMI)—noise—in ...