At Argonne National Laboratory, researchers are trading in old-school approximations for raw supercomputing power, ...

In the study, researchers compared two such parameterizations: one developed by Fox-Kemper in 2011 and another developed in 2023 by co-author Abigail Bodner ScM’20 PhD’21, assistant professor of Earth ...

Radio silence has long puzzled those searching for extraterrestrial intelligence, but the answer might lie much closer to the source of potential signals than previously thought. Conditions around ...

No two snowflakes may be the same, but models that fail to take these variations into consideration often fall short when calculating the way snow accumulates on roofs. In Physics of Fluids, ...

The purpose of this work is to explore the potential of deep reinforcement learning (DRL) as a black-box optimizer for turbulence model identification. For this, we consider a Reynolds-averaged Navier ...

Business consultant Andrii Kovalchuk scaled one store to 80 locations in Ukraine, then brought his methodology to the US, where companies that have started using it saw 44% revenue growth in 6 months.

For car shoppers, it means if you're looking for a value used EV, you might find some used non-Tesla models at good prices right now.

Dr Philippe Spalart studied Mathematics and Engineering in Paris, and obtained an Aerospace PhD at Stanford/NASA-Ames in 1982. Still at Ames, he conducted Direct Numerical Simulations of transitional ...

During the startup, shutdown, and ground-test phases of liquid rocket engines, nozzles with high area ratios operate in an overexpanded state due to elevated ambient pressure. The resulting adverse ...

Following a binary neutron star (BNS) merger, the transient remnant is often a fast spinning, differentially rotating, magnetized hypermassive neutron star (HMNS). This object is prone to the ...