ORNL researchers study quantum computing for fluid dynamics, aiming to enhance industrial design and energy production.

Researchers at the Department of Energy’s Oak Ridge National Laboratory tested a quantum computing approach to an old ...

ORNL researchers used quantum computing to model the unsteady flow of liquids and gases over two parallel plates. Computing ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have tested a quantum computing approach to an old ...

Mathematicians studied the flow of human crowds and developed a way to predict when pedestrian paths will transition from orderly to entangled. Their findings may help inform the design of public ...

Fluid dynamics is the study of the motion of liquids, gases and plasmas. Flow is dependent on the intrinsic properties of the matter itself, such as compressibility, viscosity and density.

This feature has important consequences—it makes it possible to accurately describe the state of the fluid ... dynamics of the system can still be described by the generalized hydrodynamics ...

This feature has important consequences - it makes it possible to accurately describe the state of the fluid ... dynamics of the system can still be described by the generalised hydrodynamics ...

Contemporary modeling approaches to the dynamics of neural networks include two important classes of models: biologically grounded spiking neuron models and functionally inspired rate-based units. We ...

Empower Education Welcome to the future of higher education where academia meets application iMotions EduLabs are a fusion of our “Education”… See features now This chapter presents structural ...

Multi-GPU benchmarks are done at the largest possible grid resolution with cubic domains, and either 2x1x1, 2x2x1 or 2x2x2 of these domains together. The (percentages in round brackets) are single-GPU ...