Relevant bibliographies by topics / Stochastic heating

Academic literature on the topic 'Stochastic heating'

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Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Stochastic heating"

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Pavlovski, Georgi, and Edward C. D. Pope. "Stochastic heating of cooling flows." Monthly Notices of the Royal Astronomical Society 399, no. 4 (November 11, 2009): 2195–200. http://dx.doi.org/10.1111/j.1365-2966.2009.15424.x.

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Zhao, Guo-Qing, Heng-Qiang Feng, De-Jin Wu, Qiang Liu, Yan Zhao, and Zhan-Jun Tian. "On Mechanisms of Proton Perpendicular Heating in the Solar Wind: Test Results Based on Wind Observations." Research in Astronomy and Astrophysics 22, no. 1 (January 1, 2022): 015009. http://dx.doi.org/10.1088/1674-4527/ac3413.

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Abstract The solar wind protons undergo significant perpendicular heating when they propagate in the interplanetary space. Stochastic heating and cyclotron resonance heating due to kinetic Alfvén waves (KAWs) are two proposed mechanisms. Which mechanism accounts for the perpendicular heating is still an open question. This paper performs tests for the two mechanisms based on Wind observations during 2004 June and 2019 May. Results show that heating rates in terms of stochastic heating theory considerably depend on the parameter of plasma β. For the solar wind with moderately high β, the theoretical heating rates are comparable to or larger than empirical heating rates, suggesting that the stochastic heating could be a powerful mechanism. For the solar wind with low β, on the contrary, the majority of data have theoretical heating rates much lower than empirical heating rates, showing that the stochastic heating seems to be weak in this case. On the other hand, it is found that, when the propagation angles of KAWs are around 70°, theoretically predicted damping wavenumbers of KAWs are equal to the observed wavenumbers at which magnetic energy spectra become significantly steep. This may imply that resonance heating due to cyclotron damping of KAWs could be another mechanism if KAWs have propagation angles around 70°.
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Galinsky, V. L., and V. I. Shevchenko. "A stochastic mechanism of electron heating." Physics of Plasmas 19, no. 8 (August 2012): 082506. http://dx.doi.org/10.1063/1.4742988.

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Nomura, Yasuyuki. "Statistical properties of the stochastic heating map." Kakuyūgō kenkyū 62, no. 3 (1989): 201–15. http://dx.doi.org/10.1585/jspf1958.62.201.

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Antonov, A. N., V. A. Buts, A. G. Zagorodny, E. A. Kornilov, V. G. Svichensky, and D. V. Tarasov. "Stochastic Heating of Plasma in Plasma Cavity." Физические основы приборостроения 3, no. 3 (September 15, 2014): 72–85. http://dx.doi.org/10.25210/jfop-1403-072085.

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Klimov, O. V., and A. A. Tel’nikhin. "Stochastic heating in a plasma-beam system." Technical Physics 43, no. 11 (November 1998): 1318–22. http://dx.doi.org/10.1134/1.1259191.

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PATIN, D., E. LEFEBVRE, A. BOURDIER, and E. D'HUMIÈRES. "Stochastic heating in ultra high intensity laser-plasma interaction: Theory and PIC code simulations." Laser and Particle Beams 24, no. 2 (June 2006): 223–30. http://dx.doi.org/10.1017/s0263034606060320.

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In the first part, the theoretical model of the stochastic heating effect is presented briefly. Then, a numerical resolution of the Hamilton equations highlights the threshold of the stochastic effect. Finally, Particle-In-Cell (PIC) code simulations results, for experimentally relevant parameters, are presented in order to confirm the acceleration mechanism predicted by the one-particle theoretical model. This paper gives the conditions on the different experimental parameters in order to have an optimization of the stochastic heating.
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BOURDIER, A., D. PATIN, and E. LEFEBVRE. "Stochastic heating in ultra high intensity laser-plasma interaction." Laser and Particle Beams 25, no. 1 (February 28, 2007): 169–80. http://dx.doi.org/10.1017/s026303460707022x.

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Stochastic instabilities are studied considering the motion of one particle in a very high intensity wave propagating along a constant homogeneous magnetic field, and in a high intensity wave propagating in a nonmagnetized medium perturbed by one or two low intensity traveling waves. Resonances are identified and conditions for resonance overlap are studied. The part of chaos in the electron acceleration is analyzed. PIC code simulation results confirm the stochastic heating.
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Golovanivsky, K. S. "ECRIS plasmas: stochastic heating or Langmuir caviton collapses?" Plasma Sources Science and Technology 2, no. 4 (November 1, 1993): 240–50. http://dx.doi.org/10.1088/0963-0252/2/4/003.

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Khazanov, G., A. Tel'nikhin, and A. Krotov. "Stochastic ion heating by the lower-hybrid waves." Radiation Effects and Defects in Solids 165, no. 2 (February 2010): 165–76. http://dx.doi.org/10.1080/10420150903516684.

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Dissertations / Theses on the topic "Stochastic heating"

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McChesney, Jon Mearns Bellan Paul Murray Bellan Paul Murray. "Observations of stochastic ion heating by low frequency drift waves /." Diss., Pasadena, Calif. : California Institute of Technology, 1989. http://resolver.caltech.edu/CaltechETD:etd-02092007-143250.

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Imamura, Hideo. "Relativistic and shear impacts on the stochastic heating of particles, a dynamical system approach." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ65494.pdf.

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Vech, Daniel, Kristopher G. Klein, and Justin C. Kasper. "Nature of Stochastic Ion Heating in the Solar Wind: Testing the Dependence on Plasma Beta and Turbulence Amplitude." IOP PUBLISHING LTD, 2017. http://hdl.handle.net/10150/626264.

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The solar wind undergoes significant heating as it propagates away from the Sun; the exact mechanisms responsible for this heating are not yet fully understood. We present for the first time a statistical test for one of the proposed mechanisms: stochastic ion heating. We use the amplitude of magnetic field fluctuations near the proton gyroscale as a proxy for the ratio of gyroscale velocity fluctuations to perpendicular (with respect to the magnetic field) proton thermal speed, defined as epsilon(p). Enhanced proton temperatures are observed when epsilon(p) is larger than a critical value (similar to 0.019-0.025). This enhancement strongly depends on the proton plasma beta (beta parallel to(p)); when beta parallel to(p) << 1 only the perpendicular proton temperature T-perpendicular to increases, while for beta parallel to(p) similar to 1 increased parallel and perpendicular proton temperatures are both observed. For epsilon(p) smaller than the critical value and beta parallel to(p) << 1 no enhancement of Tp is observed, while for beta parallel to(p) similar to 1 minor increases in T-parallel to are measured. The observed change of proton temperatures across a critical threshold for velocity fluctuations is in agreement with the stochastic ion heating model of Chandran et al. We find that epsilon(p) > epsilon(crit) in 76% of the studied periods, implying that stochastic heating may operate most of the time in the solar wind at 1 au.
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Benáčková, Jana. "Modelování energetického zdroje a plánování jeho provozu s využitím pokročilých matematických metod." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229823.

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This master's thesis deals with the proposal of the cost-effective biomass and coal combustion concept for a real generation plant. The optimization of the current fuel basis exploitation and annual operation scheduling was the main goal. Applying the regression analysis and stochastic programming the mathematical model was constructed based on the operating data. The overall energy source model was implemented to the concept of the optimal operation scheduling considering the economic aspects. The fuel utilization and energy production planning are the main applications of this design.
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Ahr, Philipp [Verfasser], Uwe [Gutachter] Czarnetzki, and Achim von [Gutachter] Keudell. "Investigation of an efficient stochastic electron heating mechanism in periodically structured vortex fields / Philipp Ahr ; Gutachter: Uwe Czarnetzki, Achim von Keudell ; Fakultät für Physik und Astronomie." Bochum : Ruhr-Universität Bochum, 2019. http://d-nb.info/1191481298/34.

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Meige, Albert, and albert@meige net. "Numerical modeling of low-pressure plasmas: applications to electric double layers." The Australian National University. Research School of Physical Sciences and Engineering, 2006. http://thesis.anu.edu.au./public/adt-ANU20070111.002333.

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Inductive plasmas are simulated by using a one-dimensional particle-in-cell simulation including Monte Carlo collision techniques (pic/mcc). To model inductive heating, a non-uniform radio-frequency (rf) electric field, perpendicular to the electron motion is included into the classical particle-in-cell scheme. The inductive plasma pic simulation is used to confirm recent experimental results that electric double layers can form in current-free plasmas. These results differ from previous experimental or simulation systems where the double layers are driven by a current or by imposed potential differences. The formation of a super-sonic ion beam, resulting from the ions accelerated through the potential drop of the double layer and predicted by the pic simulation is confirmed with nonperturbative laser-induced fluorescence measurements of ion flow. It is shown that at low pressure, where the electron mean free path is of the order of, or greater than the system length, the electron energy distribution function (eedf) is close to Maxwellian, except for its tail which is depleted at energies higher than the plasma potential. Evidence supporting that this depletion is mostly due to the high-energy electrons escaping to the walls is given. ¶ A new hybrid simulation scheme (particle ions and Boltzmann/particle electrons), accounting for non-Maxwellian eedf and self-consistently simulating low-pressure high-density plasmas at low computational cost is proposed. Results obtained with the “improved” hybrid model are in much better agreement with the full pic simulation than the classical non self-consistent hybrid model. This model is used to simulate electronegative plasmas and to provide evidence supporting the fact that propagating double layers may spontaneously form in electronegative plasmas. It is shown that critical parameters of the simulation were very much aligned with critical parameters of the experiment.
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Mukhtar, Qaisar. "On Monte Carlo Operators for Studying Collisional Relaxation in Toroidal Plasmas." Doctoral thesis, KTH, Fusionsplasmafysik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-120590.

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This thesis concerns modelling of Coulomb collisions in toroidal plasma with Monte Carlo operators, which is important for many applications such as heating, current drive and collisional transport in fusion plasmas. Collisions relax the distribution functions towards local isotropic ones and transfer power to the background species when they are perturbed e.g. by wave-particle interactions or injected beams. The evolution of the distribution function in phase space, due to the Coulomb scattering on background ions and electrons and the interaction with RF waves, can be obtained by solving a Fokker-Planck equation.The coupling between spatial and velocity coordinates in toroidal plasmas correlates the spatial diffusion with the pitch angle scattering by Coulomb collisions. In many applications the diffusion coefficients go to zero at the boundaries or in a part of the domain, which makes the SDE singular. To solve such SDEs or equivalent diffusion equations with Monte Carlo methods, we have proposed a new method, the hybrid method, as well as an adaptive method, which selects locally the faster method from the drift and diffusion coefficients. The proposed methods significantly reduce the computational efforts and improves the convergence. The radial diffusion changes rapidly when crossing the trapped-passing boundary creating a boundary layer. To solve this problem two methods are proposed. The first one is to use a non-standard drift term in the Monte Carlo equation. The second is to symmetrize the flux across the trapped passing boundary. Because of the coupling between the spatial and velocity coordinates drift terms associated with radial gradients in density, temperature and fraction of the trapped particles appear. In addition an extra drift term has been included to relax the density profile to a prescribed one. A simplified RF-operator in combination with the collision operator has been used to study the relaxation of a heated distribution function. Due to RF-heating the density of thermal ions is reduced by the formation of a high-energy tail in the distribution function. The Coulomb collisions tries to restore the density profile and thus generates an inward diffusion of thermal ions that results in a peaking of the total density profile of resonant ions.

QC 20130415

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Rassou, Sébastien. "Accélération d'électrons par onde de sillage laser : Développement d’un modèle analytique étendu au cas d’un plasma magnétisé dans le régime du Blowout." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLS066/document.

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Une impulsion laser intense se propageant dans un plasma sous-dense (ne< 10¹⁸ W.cm⁻²) et de durée très courte (τ₀< 100 fs), , on atteint le régime de la bulle. Les champs électriques dans ces bulles, de l’ordre de 100 GV/m, peuvent accélérer un faisceau d’électrons jusqu’au GeV sur des distances de l’ordre du centimètre. Dans ce régime, les électrons expulsés par la force pondéromotrice du laser forment une fine et dense couche à la surface d'une cavité d'ions restés immobiles. Les propriétés de ce régime sont examinées par l’intermédiaire d’un modèle analytique, que nous avons développé en nous inspirant du travail de W. Lu et S. Yi. En nous plaçant dans ce régime prometteur, nous avons étudié les mécanismes d’injection et de piégeage dans l'onde de sillage. Dans l’injection optique, les polarisations parallèles ou circulaires positives conduisent respectivement à une injection mettant en jeu du chauffage stochastique, ou à l’injection froide. Un paramètre de similarité est introduit, celui-ci permet de déterminer la méthode d’injection la plus appropriée pour maximiser la charge injectée. Enfin, le modèle analytique présenté en première partie est étendu afin d’étudier l’onde de sillage dans le régime de la bulle lorsqu’un champ magnétique longitudinal initial est appliqué au plasma. Lorsque le plasma est magnétisé deux phénomènes remarquables se manifestent, d'une part une ouverture apparaît à l'arrière de la bulle et d'autre part un mécanisme d'amplification du champ magnétique longitudinale est induit par la variation du flux magnétique. Les prédictions de notre modèle analytique sont confrontées aux résultats de simulations PIC 3D issues du code CALDER-Circ. La conséquence immédiate de la déformation de l'onde de sillage est la réduction, voire la suppression de l'auto-injection. L’application d’un champ magnétique longitudinal, combinée à un choix judicieux des paramètres laser-plasma, permet de réduire la dispersion en énergie des faisceaux d’électrons produits après injection optique
An intense laser pulse propagating in an under dense plasma (ne< 10¹⁸ W.cm⁻²) and short(τ₀< 100 fs), the bubble regime is reached. Within the bubble the electric field can exceed 100 GV/m and a trapped electron beam is accelerated to GeV energy with few centimetres of plasma.In this regime, the electrons expelled by the laser ponderomotive force are brought back and form a dense sheath layer. First, an analytic model was derived using W. Lu and S. Yi formalisms in order to investigate the properties of the wakefield in the blowout regime. In a second part, the trapping and injection mechanisms into the wakefield were studied. When the optical injection scheme is used, electrons may undergo stochastic heating or cold injection depending on the lasers’ polarisations. A similarity parameter was introduced to find out the most appropriate method to maximise the trapped charge. In a third part, our analytic model is extended to investigate the influence of an initially applied longitudinal magnetic field on the laser wakefield in the bubble regime. When the plasma is magnetized two remarkable phenomena occur. Firstly the bubble is opened at its rear, and secondly the longitudinal magnetic field is amplified - at the rear of the bubble - due to the azimuthal current induced by the variation of the magnetic flux. The predictions of our analytic model were shown to be in agreement with 3D PIC simulation results obtained with Calder-Circ. In most situations the wake shape is altered and self-injection can be reduced or even cancelled by the applied magnetic field. However, the application of a longitudinal magnetic field, combined with a careful choice of laser-plasma parameters, reduces the energy spread of the electron beam produced after optical injection
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McChesney, Jon Mearns. "Observations of stochastic ion heating by low frequency drift waves." Thesis, 1989. https://thesis.library.caltech.edu/575/1/McChesney_jm_1989.pdf.

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NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in .pdf document. Several laser induced fluorescence (LIF) experiments were performed on the Encore tokamak device. These experiments represent the first application of this technique to the majority ions of a tokamak. The main laser system selected consisted of a copper vapor laser (CVL), which pumped a narrowband, tunable dye laser. This system allowed the Doppler-broadened, ion distribution function to be scanned with high resolution, giving accurate ion temperature measurements. As a preliminary test, the diagnostic was used to observe ion heating in the presence of lower hybrid RF power. Ion temperatures were found to increase dramatically with increasing RF power. By using a second dye laser, actual ion trajectories were determined using the technique of "optical tagging." Tagging involves the use of a so-called "pump" laser to alter the fraction of ions in a particular quantum state. As a preliminary test, this technique was used to demonstrate ion gyro-motion in Encore. Using the ion distribution functions determined by means of LIF, it was possible to make detailed measurements of ion heating during an ohmically heated tokamak discharge. It was found that the observed rate of ion heating was nearly two orders of magnitude faster than expected from collisional energy exchange with the hot electrons. The high ion temperatures inferred from the LIF measurements were later verified by measuring the Landau damping of ion acoustic waves. The observed damping lengths were roughly in accord with those calculated using measured values of T[e] and T[i]. This enhanced ion heating was correlated with the presence of large amplitude, low frequency (w < w[ci]), drift-Alfven waves. Using numerical calculations, it was shown that in the presence of electrostatic modes (such as drift waves) of sufficient amplitude, ion motion becomes stochastic or chaotic. In physical terms, stochasticity occurs when the ion displacement that is due to the polarization drift becomes comparable to the perpendicular wavelength, i.e., when [alpha]=m[i]k[...][phi][0]/qB[...][...]1. A combination of numerical calculations and experiments was used to demonstrate that stochasticity was indeed responsible for the observed rapid heating. Finally, we concluded by speculating that stochastic heating may also be the cause of the anomalously high ion temperatures observed in reversed field pinches (RFP's) and in field reversed configurations (FRC's). Intrinsic stochasticity is also important in the field of auxiliary plasma heating. As is now well known, a large amplitude RF electric field can heat particles despite a large mismatch between the wave frequency and the gyrofrequency
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Meige, Albert. "Numerical modeling of low-pressure plasmas: applications to electric double layers." Phd thesis, 2006. http://hdl.handle.net/1885/45749.

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Inductive plasmas are simulated by using a one-dimensional particle-in-cell simulation including Monte Carlo collision techniques (pic/mcc). To model inductive heating, a non-uniform radio-frequency (rf) electric field, perpendicular to the electron motion is included into the classical particle-in-cell scheme. The inductive plasma pic simulation is used to confirm recent experimental results that electric double layers can form in current-free plasmas. These results differ from previous experimental or simulation systems where the double layers are driven by a current or by imposed potential differences. The formation of a super-sonic ion beam, resulting from the ions accelerated through the potential drop of the double layer and predicted by the pic simulation is confirmed with nonperturbative laser-induced fluorescence measurements of ion flow. It is shown that at low pressure, where the electron mean free path is of the order of, or greater than the system length, the electron energy distribution function (eedf) is close to Maxwellian, except for its tail which is depleted at energies higher than the plasma potential. Evidence supporting that this depletion is mostly due to the high-energy electrons escaping to the walls is given. ¶ A new hybrid simulation scheme (particle ions and Boltzmann/particle electrons), accounting for non-Maxwellian eedf and self-consistently simulating low-pressure high-density plasmas at low computational cost is proposed. Results obtained with the “improved” hybrid model are in much better agreement with the full pic simulation than the classical non self-consistent hybrid model. This model is used to simulate electronegative plasmas and to provide evidence supporting the fact that propagating double layers may spontaneously form in electronegative plasmas. It is shown that critical parameters of the simulation were very much aligned with critical parameters of the experiment.
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Book chapters on the topic "Stochastic heating"

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Sudan, R. N. "Heating in Stochastic Magnetic Fields." In Mechanisms of Chromospheric and Coronal Heating, 448–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-87455-0_77.

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Viazovychenko, Yuliia, and Oleksiy Larin. "Stochastic Optimization Algorithms for Data Processing in Experimental Self-heating Process." In Lecture Notes in Networks and Systems, 644–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66717-7_55.

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Bianchi, Federico, Pietro Tarocco, Alberto Castellini, and Alessandro Farinelli. "Convolutional Neural Network and Stochastic Variational Gaussian Process for Heating Load Forecasting." In Machine Learning, Optimization, and Data Science, 244–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64583-0_23.

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Basile, Davide, Silvano Chiaradonna, Felicita Di Giandomenico, Stefania Gnesi, and Franco Mazzanti. "Stochastic Model-Based Analysis of Energy Consumption in a Rail Road Switch Heating System." In Lecture Notes in Computer Science, 82–98. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23129-7_7.

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Salyga, V. I., V. V. Darienko, and V. L. Obruchev. "DESIGN OF HEATING CONTROL ALGORITHMS BY SOLVING AN INVERSE DYNAMICS PROBLEM." In Stochastic Control, 335–37. Elsevier, 1987. http://dx.doi.org/10.1016/b978-0-08-033452-3.50065-x.

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ALHAWAJ, O. S. "STOCHASTIC SIMULATION OF SOLAR HEATING OF BUILDINGS." In Clean and Safe Energy Forever, 557–61. Elsevier, 1990. http://dx.doi.org/10.1016/b978-0-08-037193-1.50114-2.

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Frolova, Tetyana, Vyacheslav Buts, Gennadiy Churyumov, Eugene Odarenko, and Vladimir Gerasimov. "Microwave Heating of Low-Temperature Plasma and Its Application." In Microwave Heating - Electromagnetic Fields Causing Thermal and Non-Thermal Effects. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97167.

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In this chapter, the results of theoretical and experimental studies of the interaction of an electromagnetic field with a plasma (fundamental interaction of the wave-particle type) both in the regime of standing waves (in the case of a resonator) and in the case of traveling waves in a waveguide are presented. The results of computer modeling the distribution of a regular electromagnetic field for various designs of electrodynamic structures are considered. The most attractive designs of electrodynamic structures for practical application are determined. A brief review and analysis of some mechanisms of stochastic plasma heating are given as well as the conditions for the formation of dynamic chaos in such structures are determined. Comparison analysis of microwave plasma heating in a regular electromagnetic field (in a regime with dynamical chaos) with plasma heating by random fields is considered. It is shown, that stochastic heating of plasma is much more efficient in comparison with other mechanisms of plasma heating (including fundamental interaction of the wave-wave type). The results obtained in this work can be used to increase the efficiency of plasma heating as well as to develop promising new sources of electromagnetic radiation in the microwave and optical ranges.
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Wu, Qiuwei, Jin Tan, Xiaolong Jin, Menglin Zhang, and Ana Turk. "Day-ahead stochastic optimal operation of the integrated electricity and heating system considering reserve of flexible devices." In Optimal Operation of Integrated Multi-Energy Systems Under Uncertainty, 221–49. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-12-824114-1.00011-1.

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Stinchombe, Robin. "Nonequilibrium Systems." In Nonextensive Entropy. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195159769.003.0013.

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Nonequilibrium system and behavior are briefly reviewed, with an emphasis on recent progress using minimal microscopic models and on implications for macroscopic descriptions…. Our daily life continually confronts us with large systems whose internal processes or external influences are such that standard physical equilibrium descriptions of macroscopic behavior do not apply. Among complex examples are weather, crowds, traffic, financial markets, and so on, and at the other end of the spectrum are simple queuing, processing, and decision-making setups. The most common, most interesting and most complex examples in nature are predominately collective stochastic systems, in which many constituents influence/ interact with each other in some way, and the processes are probabilistic and dissipative. This is true of most examples given above, certainly of the first ones. None of these achieves ordinary equilibrium states of the sort met in thermodynamics; such systems are generically called nonequilibrium systems (NES). In the case of weather, a reason for not going into standard equilibrium is the sun's continual heating of the earth's land surface, oceans, and atmosphere. A feeding mechanism like that also occurs in traffic systems through the entry and exit of vehicles. In addition, traffic transition rates are not set by thermodynamic balances. Traffic can achieve steady states of flow or jammed states. In common with most other nonequilibrium (NE) steady states, these are quite unlike the equilibrium states provided by the standard "general" macroscopic and microscopic descriptions of thermodynamics and statistical mechanics (see Boltzmann and Gibbs). Nevertheless, NES show many similarities to collective equilibrium systems (ES), largely in behavior at a quantitative level. For example, NES and ES classes both include systems showing phase transitions (e.g., in the NE steady state, or in the thermal equilibrium state, respectively), whose phenomenology can typically be qualitatively interpreted in similar terms (using concepts of order parameter, scale invariance, and power laws, etc.).
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Conference papers on the topic "Stochastic heating"

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Bayrak, M., and R. P. Brinkmann. "Stochastic heating in capacitively coupled plasmas." In 2008 IEEE 35th International Conference on Plasma Science (ICOPS). IEEE, 2008. http://dx.doi.org/10.1109/plasma.2008.4590832.

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Duley, W. W. "Stochastic heating in laser materials processing." In ICALEO® 2005: 24th International Congress on Laser Materials Processing and Laser Microfabrication. Laser Institute of America, 2005. http://dx.doi.org/10.2351/1.5060551.

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Fredrickson, E. D., C. K. Phillips, J. Hosea, J. R. Wilson, P. Bonoli, N. N. Gorelenkov, J. Wright, E. Valeo, Philip M. Ryan, and David Rasmussen. "Stochastic RF Heating of Thermal Ions." In RADIO FREQUENCY POWER IN PLASMAS: 17th Topical Conference on Radio Frequency Power in Plasmas. AIP, 2007. http://dx.doi.org/10.1063/1.2800454.

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Horvath, L., M. J. Collett, H. J. Carmichael, and R. Fisher. "Quantum Stochastic Heating of a Trapped Ion." In Conference on Coherence and Quantum Optics. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/cqo.2007.ctue2.

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Bourdier, A. "Stochastic Heating in Ultra High Intensity Laser-Plasma Interaction." In 2007 IEEE Pulsed Power Plasma Science Conference. IEEE, 2007. http://dx.doi.org/10.1109/ppps.2007.4346125.

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Horvath, L., M. J. Collett, H. J. Carmichael, and R. Fisher. "Quantum Stochastic Heating of a Trapped Ion through Resonance Fluorescence." In Quantum-Atom Optics Downunder. Washington, D.C.: OSA, 2007. http://dx.doi.org/10.1364/qao.2007.qtuc1.

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Wood, B. P., M. A. Lieberman, and A. J. Lichtenberg. "Nonlinear sheath motion and stochastic heating in a capacitive RF discharge." In 1990 Plasma Science IEEE Conference Record - Abstracts. IEEE, 1990. http://dx.doi.org/10.1109/plasma.1990.110775.

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8

Sharma, S., and M. Turner. "Simulation study of stochastic heating in dual frequency capacitively coupled plasma discharges." In 2012 IEEE 39th International Conference on Plasma Sciences (ICOPS). IEEE, 2012. http://dx.doi.org/10.1109/plasma.2012.6383809.

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9

Speirs, David C., Bengt Eliasson, K. Ronald, Lars K. S. Daldorff, and A. Najmi. "Vlasov Simulations of Fast Stochastic Electron Heating Near the Upper Hybrid Layer." In 2017 IEEE International Conference on Plasma Science (ICOPS). IEEE, 2017. http://dx.doi.org/10.1109/plasma.2017.8496048.

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10

Ostroushko, V. "Effect of motion similarity in interaction through electromagnetic radiation and stochastic heating." In 2012 International Conference on Mathematical Methods in Electromagnetic Theory (MMET). IEEE, 2012. http://dx.doi.org/10.1109/mmet.2012.6331166.

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Reports on the topic "Stochastic heating"

1

Candy, J. Stochastic ion heating by lower hybrid turbulence. Office of Scientific and Technical Information (OSTI), May 1990. http://dx.doi.org/10.2172/6746830.

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2

Lichtenberg, A. Self-generated stochastic heating in an rf discharge. Office of Scientific and Technical Information (OSTI), January 1992. http://dx.doi.org/10.2172/7034308.

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3

Jay R. Johnson and C.Z. Cheng. Stochastic Ion Heating at the Magnetopause due to Kinetic Alfven Waves. Office of Scientific and Technical Information (OSTI), August 2001. http://dx.doi.org/10.2172/787902.

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4

S.A. Cohen, A. S. Landsman, and A. H. Glasser. Stochastic Ion Heating in a Field-reversed Configuration Geometry by Rotating Magnetic Fields. Office of Scientific and Technical Information (OSTI), June 2007. http://dx.doi.org/10.2172/963547.

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5

Lichtenberg, A. Self-generated stochastic heating in an rf discharge. Annual progress report, May 15, 1991--May 14, 1992. Office of Scientific and Technical Information (OSTI), August 1992. http://dx.doi.org/10.2172/10167295.

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You might also be interested in the extended bibliographies on the topic 'Stochastic heating' for particular source types:
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