The DOI matches its Crossref record.
A Model for Collision Processes in Gases. I. Small Amplitude Processes in Charged and Neutral One-Component Systems
Abstract
A kinetic theory approach to collision processes in ionized and neutral gases is presented. This approach is adequate for the unified treatment of the dynamic properties of gases over a continuous range of pressures from the Knudsen limit to the high-pressure limit where the aerodynamic equations are valid. It is also possible to satisfy the correct microscopic boundary conditions. The method consists in altering the collision terms in the Boltzmann equation. The modified collision terms are constructed so that each collision conserves particle number, momentum, and energy; other characteristics such as persistence of velocities and angular dependence may be included. The present article illustrates the technique for a simple model involving the assumption of a collision time independent of velocity; this model is applied to the study of small amplitude oscillations of one-component ionized and neutral gases. The initial value problem for unbounded space is solved by performing a Fourier transformation on the space variables and a Laplace transformation on the time variable. For uncharged gases there results the correct adiabatic limiting law for sound-wave propagation at high pressures and, in addition, one obtains a theory of absorption and dispersion of sound for arbitrary pressures. For ionized gases the difference in the nature of the organization in the low-pressure plasma oscillations and in high-pressure sound-type oscillations is studied. Two important cases are distinguished. If the wavelengths of the oscillations are long compared to either the Debye length or the mean free path, a small change in frequency is obtained as the collision frequency varies from zero to infinity. The accompanying absorption is small; it reaches its maximum value when the collision frequency equals the plasma frequency. The second case refers to waves shorter than both the Debye length and the mean free path; these waves are characterized by a very heavy absorption.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Particle acceleration at astrophysical shocks: A theory of cosmic ray origin
Blandford, R., & Eichler, D. (1987) · Physics Reports · doi:10.1016/0370-1573(87)90134-7 · Cited by 1,964
Water transport in polymer electrolyte membrane fuel cells
Jiao, K., & Li, X. (2011) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2010.06.002 · Cited by 1,086
Cascaded digital lattice Boltzmann automata for high Reynolds number flow
Geier, M., Greiner, A., & Korvink, J. G. (2006) · Physical Review E · doi:10.1103/physreve.73.066705 · Cited by 417
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Zendehboudi, S., Rezaei, N., & Lohi, A. (2018) · Applied Energy · doi:10.1016/j.apenergy.2018.06.051 · Cited by 394
Mieussens, L. (2000) · Journal of Computational Physics · doi:10.1006/jcph.2000.6548 · Cited by 353
Volumetric formulation of the lattice Boltzmann method for fluid dynamics: Basic concept
Chen, H. (1998) · Physical Review E · doi:10.1103/physreve.58.3955 · Cited by 294
Conditional quadrature method of moments for kinetic equations
Yuan, C., & Fox, R. O. (2011) · Journal of Computational Physics · doi:10.1016/j.jcp.2011.07.020 · Cited by 232
OpenLB—Open source lattice Boltzmann code
Krause, M. J., Kummerländer, A., Avis, S. J., Kusumaatmaja, H., Dapelo, D., Klemens, F., Gaedtke, M., Hafen, N., Mink, A., Trunk, R., et al. (2021) · Computers & Mathematics with Applications · doi:10.1016/j.camwa.2020.04.033 · Cited by 203
Lattice Boltzmann simulation optimization on leading multicore platforms
Williams, S., Carter, J., Oliker, L., Shalf, J., & Yelick, K. (2008) · 2008 IEEE International Symposium on Parallel and Distributed Processing · doi:10.1109/ipdps.2008.4536295 · Cited by 98
Jourabian, M., & Farhadi, M. (2015) · Journal of Mechanical Science and Technology · doi:10.1007/s12206-015-0828-0 · Cited by 50
RetractedA 3D Lattice Boltzmann method for light simulation in participating media
Mink, A., Thäter, G., Nirschl, H., & Krause, M. J. (2016) · Journal of Computational Science · doi:10.1016/j.jocs.2016.03.014 · Cited by 39
Weih, L. R., Gabbana, A., Simeoni, D., Rezzolla, L., Succi, S., & Tripiccione, R. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa2575 · Cited by 34
Inertial dilute particulate fluid flow simulations with an Euler–Euler lattice Boltzmann method
Trunk, R., Henn, T., Dörfler, W., Nirschl, H., & Krause, M. J. (2016) · Journal of Computational Science · doi:10.1016/j.jocs.2016.03.013 · Cited by 31
Haussmann, M., Simonis, S., Nirschl, H., & Krause, M. J. (2019) · International Journal of Modern Physics C · doi:10.1142/s0129183119500748 · Cited by 30
Numerical evaluation of thermal comfort using a large eddy lattice Boltzmann method
Siodlaczek, M., Gaedtke, M., Simonis, S., Schweiker, M., Homma, N., & Krause, M. J. (2021) · Building and Environment · doi:10.1016/j.buildenv.2021.107618 · Cited by 30
Lattice-Boltzmann coupled models for advection–diffusion flow on a wide range of Péclet numbers
Dapelo, D., Simonis, S., Krause, M. J., & Bridgeman, J. (2021) · Journal of Computational Science · doi:10.1016/j.jocs.2021.101363 · Cited by 27
Regner, K. T., Wei, L. C., & Malen, J. A. (2015) · Journal of Applied Physics · doi:10.1063/1.4937995 · Cited by 26
Modeling of bubble-column flows with quadrature-based moment methods
Vikas, V., Yuan, C., Wang, Z. J., & Fox, R. O. (2011) · Chemical Engineering Science · doi:10.1016/j.ces.2011.03.009 · Cited by 23
Multiscale Simulation with a Two-Way Coupled Lattice Boltzmann Method and Discrete Element Method
Maier, M.-L., Henn, T., Thaeter, G., Nirschl, H., & Krause, M. J. (2017) · Chemical Engineering & Technology · doi:10.1002/ceat.201600547 · Cited by 15
Nathen, P., Gaudlitz, D., Krause, M., & Kratzke, J. (2013) · 21st AIAA Computational Fluid Dynamics Conference · doi:10.2514/6.2013-2573 · Cited by 9
Fluid–Structure Interaction Simulation of a Coriolis Mass Flowmeter Using a Lattice Boltzmann Method
Haussmann, M., Reinshaus, P., Simonis, S., Nirschl, H., & Krause, M. J. (2021) · Fluids · doi:10.3390/fluids6040167 · Cited by 1
Metadata
- Authors
- Bhatnagar, P. L., Gross, E. P., & Krook, M.
- Venue
- Physical Review
- Publisher
- American Physical Society (APS)
- Published
- 1954-05-01
- Volume
- 94
- Issue
- 3
- Pages
- 511-525
- ISSN
- 0031-899X (ISSN-L)
- OpenAlex
- W2066060292
- Cited by
- 8,543
- References
- 0
- FWCI
- 8.93
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.