Journal Information
Computers & Fluids
http://www.journals.elsevier.com/computers-and-fluids/
Impact Factor:
3.013
Publisher:
Elsevier
ISSN:
0045-7930
Viewed:
14028
Tracked:
1
Call For Papers
Computers & Fluids is multidisciplinary. The term 'fluid' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.

Applications will be found in most branches of engineering and science: mechanical, civil, chemical, aeronautical, medical, geophysical, nuclear and oceanographic. These will involve problems of air, sea and land vehicle motion and flow physics, energy conversion and power, chemical reactors and transport processes, ocean and atmospheric effects and pollution, biomedicine, noise and acoustics, and magnetohydrodynamics amongst others.

The development of numerical methods relevant to fluid flow computations, computational analysis of flow physics and fluid interactions and novel applications to flow systems and to design are pertinent to Computers & Fluids.
Last updated by Dou Sun in 2022-01-29
Special Issues
Special Issue on Recent Progress in Quantum Algorithms for Fluid Dynamics
Submission Date: 2024-03-01

During the past two decades, the development of Quantum Computers and Quantum Algorithms has become a field of rising investment, business development, and research. Quantum computing offers up to exponential advantage in computational complexity over classic computing but requires rethinking and redesigning the solution approach to exploit the underlying quantum mechanics. While nowadays architectures are limited to proof-of-concept computations, quantum algorithm development has seen progress over a broad spectrum of application from quantum physics, biology, and chemistry to finance, and number theory. The development of efficient quantum algorithms for fluid dynamics is gaining traction globally but still in an early, pioneering state. The aim of the present special issue is to provide the research community with an up-to-date account of recent developments, associated research questions, and the upcoming challenges in quantum computational fluid dynamics.
Last updated by Dou Sun in 2023-09-19
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