Relevant bibliographies by topics / Computational physics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Computational physics'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 October 2024

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Journal articles on the topic "Computational physics"

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ILIE, Marcel, Augustin Semenescu, Gabriela Liliana STROE, and Sorin BERBENTE. "NUMERICAL COMPUTATIONS OF THE CAVITY FLOWS USING THE POTENTIAL FLOW THEORY." ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES 13, no. 2 (2021): 78–86. http://dx.doi.org/10.56082/annalsarscieng.2021.2.78.

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Computational fluid dynamics of turbulent flows requires large computational resources or are not suitable for the computations of transient flows. Therefore methods such as Reynolds-averaged Navier-Stokes equations are not suitable for the computation of transient flows. The direct numerical simulation provides the most accurate solution, but it is not suitable for high-Reynolds number flows. Large-eddy simulation (LES) approach is computationally less demanding than the DNS but still computationally expensive. Therefore, alternative computational methods must be sought. This research concerns the modelling of inviscid incompressible cavity flow using the potential flow. The numerical methods employed the finite differences approach. The time and space discretization is achieved using second-order schemes. The studies reveal that the finite differences approach is a computationally efficient approach and large computations can be performed on a single computer. The analysis of the flow physics reveals the presence of the recirculation region inside the cavity as well at the corners of the cavity
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Giordano, Nicholas J., Marvin L. De Jong, Susan R. McKay, and Wolfgang Christian. "Computational Physics." Computers in Physics 11, no. 4 (1997): 351. http://dx.doi.org/10.1063/1.4822569.

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Gustafson, Karl. "Computational Physics." Computers in Physics 5, no. 5 (1991): 457. http://dx.doi.org/10.1063/1.4823010.

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Landau, Rubin H., Manuel Páez, Harvey Gould, and Jan Tobochnik. "Computational Physics." American Journal of Physics 67, no. 1 (January 1999): 94–95. http://dx.doi.org/10.1119/1.19197.

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Koonin, Steven E., and Peter B. Kramer. "Computational Physics." Physics Today 39, no. 6 (June 1986): 88–90. http://dx.doi.org/10.1063/1.2815046.

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Thijssen, J. M., and Alan F. Wright. "Computational Physics." Physics Today 53, no. 3 (March 2000): 76–77. http://dx.doi.org/10.1063/1.883008.

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Borcherds, P. H. "Computational physics." Physics Education 21, no. 4 (July 1, 1986): 238–43. http://dx.doi.org/10.1088/0031-9120/21/4/008.

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Giordano, Nicholas J., Tao Pang, and John M. Blondin. "Computational Physics and an Introduction to Computational Physics." Physics Today 51, no. 10 (October 1998): 84–86. http://dx.doi.org/10.1063/1.882417.

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Hemmo, Meir, and Orly Shenker. "The Multiple-Computations Theorem and the Physics of Singling Out a Computation." Monist 105, no. 2 (March 9, 2022): 175–93. http://dx.doi.org/10.1093/monist/onab030.

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Abstract The problem of multiple-computations discovered by Hilary Putnam presents a deep difficulty for functionalism (of all sorts, computational and causal). We describe in outline why Putnam’s result, and likewise the more restricted result we call the Multiple-Computations Theorem, are in fact theorems of statistical mechanics. We show why the mere interaction of a computing system with its environment cannot single out a computation as the preferred one amongst the many computations implemented by the system. We explain why nonreductive approaches to solving the multiple-computations problem, and in particular why computational externalism, are dualistic in the sense that they imply that nonphysical facts in the environment of a computing system single out the computation. We discuss certain attempts to dissolve Putnam’s unrestricted result by appealing to systems with certain kinds of input and output states as a special case of computational externalism, and show why this approach is not workable without collapsing to behaviorism. We conclude with some remarks about the nonphysical nature of mainstream approaches to both statistical mechanics and the quantum theory of measurement with respect to the singling out of partitions and observables.
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Nardelli, Marco Buongiorno. "Computation “is” Physics!: Computational Physics: Nicholas J. Giordano and Hisao Nakanishi." Physics Teacher 44, no. 7 (October 2006): 480. http://dx.doi.org/10.1119/1.2353604.

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Dissertations / Theses on the topic "Computational physics"

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Knebe, Alexander. "Computational cosmology." Thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2010/4114/.

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“Computational Cosmology” is the modeling of structure formation in the Universe by means of numerical simulations. These simulations can be considered as the only “experiment” to verify theories of the origin and evolution of the Universe. Over the last 30 years great progress has been made in the development of computer codes that model the evolution of dark matter (as well as gas physics) on cosmic scales and new research discipline has established itself. After a brief summary of cosmology we will introduce the concepts behind such simulations. We further present a novel computer code for numerical simulations of cosmic structure formation that utilizes adaptive grids to efficiently distribute the work and focus the computing power to regions of interests, respectively. In that regards we also investigate various (numerical) effects that influence the credibility of these simulations and elaborate on the procedure of how to setup their initial conditions. And as running a simulation is only the first step to modelling cosmological structure formation we additionally developed an object finder that maps the density field onto galaxies and galaxy clusters and hence provides the link to observations. Despite the generally accepted success of the cold dark matter cosmology the model still inhibits a number of deviations from observations. Moreover, none of the putative dark matter particle candidates have yet been detected. Utilizing both the novel simulation code and the halo finder we perform and analyse various simulations of cosmic structure formation investigating alternative cosmologies. These include warm (rather than cold) dark matter, features in the power spectrum of the primordial density perturbations caused by non-standard inflation theories, and even modified Newtonian dynamics. We compare these alternatives to the currently accepted standard model and highlight the limitations on both sides; while those alternatives may cure some of the woes of the standard model they also inhibit difficulties on their own. During the past decade simulation codes and computer hardware have advanced to such a stage where it became possible to resolve in detail the sub-halo populations of dark matter halos in a cosmological context. These results, coupled with the simultaneous increase in observational data have opened up a whole new window on the concordance cosmogony in the field that is now known as “Near-Field Cosmology”. We will present an in-depth study of the dynamics of subhaloes and the development of debris of tidally disrupted satellite galaxies.1 Here we postulate a new population of subhaloes that once passed close to the centre of their host and now reside in the outer regions of it. We further show that interactions between satellites inside the radius of their hosts may not be negliable. And the recovery of host properties from the distribution and properties of tidally induced debris material is not as straightforward as expected from simulations of individual satellites in (semi-)analytical host potentials.
Die Kosmologie ist heutzutage eines der spannendsten Arbeitsgebiete in der Astronomie und Astrophysik. Das vorherrschende (Urknall-)Modell in Verbindung mit den neuesten und präzisesten Beobachtungsdaten deutet darauf hin, daß wir in einem Universum leben, welches zu knapp 24% aus Dunkler Materie und zu 72% aus Dunkler Energie besteht; die sichtbare Materie macht gerade einmal 4% aus. Und auch wenn uns derzeit eindeutige bzw. direkte Beweise für die Existenz dieser beiden exotischen Bestandteile des Universums fehlen, so ist es uns dennoch möglich, die Entstehung von Galaxien, Galaxienhaufen und der großräumigen Struktur in solch einem Universum zu modellieren. Dabei bedienen sich Wissenschaftler Computersimulationen, welche die Strukturbildung in einem expandierenden Universum mittels Großrechner nachstellen; dieses Arbeitsgebiet wird Numerische Kosmologie bzw. “Computational Cosmology” bezeichnet und ist Inhalt der vorliegenden Habilitationsschrift. Nach einer kurzen Einleitung in das Themengebiet werden die Techniken zur Durchführung solcher numerischen Simulationen vorgestellt. Die Techniken zur Lösung der relevanten (Differential-)Gleichungen zur Modellierung des “Universums im Computer” unterscheiden sich dabei teilweise drastisch voneinander (Teilchen- vs. Gitterverfahren), und es werden die verfahrenstechnischen Unterschiede herausgearbeitet. Und obwohl unterschiedliche Programme auf unterschiedlichen Methoden basieren, so sind die Unterschiede in den Endergebnissen doch (glücklicherweise) vernachlässigbar gering. Wir stellen desweiteren einen komplett neuen Code – basierend auf dem Gitterverfahren – vor, welcher einen Hauptbestandteil der vorliegenden Habilitation darstellt. Im weiteren Verlauf der Arbeit werden diverse kosmologische Simulationen vorgestellt und ausgewertet. Dabei werden zum einen die Entstehung und Entwicklung von Satellitengalaxien – den (kleinen) Begleitern von Galaxien wie unserer Milchstraße und der Andromedagalaxie – als auch Alternativen zum oben eingeführten “Standardmodell” der Kosmologie untersucht. Es stellt sich dabei heraus, daß keine der (hier vorgeschlagenen) Alternativen eine bedrohliche Konkurenz zu dem Standardmodell darstellt. Aber nichtsdestoweniger zeigen die Rechnungen, daß selbst so extreme Abänderungen wie z.B. modifizierte Newton’sche Dynamik (MOND) zu einem Universum führen können, welches dem beobachteten sehr nahe kommt. Die Ergebnisse in Bezug auf die Dynamik der Satellitengalaxien zeigen auf, daß die Untersuchung der Trümmerfelder von durch Gezeitenkräfte zerriebenen Satellitengalaxien Rückschlüsse auf Eigenschaften des ursprünglichen Satelliten zulassen. Diese Tatsache wird bei der Aufschlüsselung der Entstehungsgeschichte unserer eigenen Milchstraße von erheblichem Nutzen sein. Trotzdem deuten die hier vorgestellten Ergebnisse auch darauf hin, daß dieser Zusammenhang nicht so eindeutig ist, wie er zuvor mit Hilfe kontrollierter Einzelsimulationen von Satellitengalaxien in analytischen “Mutterpotentialen” vorhergesagt wurde: Das Zusammenspiel zwischen den Satelliten und der Muttergalaxie sowie die Einbettung der Rechnungen in einen kosmologischen Rahmen sind von entscheidender Bedeutung.
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Zagordi, Osvaldo. "Statistical physics methods in computational biology." Doctoral thesis, SISSA, 2007. http://hdl.handle.net/20.500.11767/3971.

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The interest of statistical physics for combinatorial optimization is not new, it suffices to think of a famous tool as simulated annealing. Recently, it has also resorted to statistical inference to address some "hard" optimization problems, developing a new class of message passing algorithms. Three applications to computational biology are presented in this thesis, namely: 1) Boolean networks, a model for gene regulatory networks; 2) haplotype inference, to study the genetic information present in a population; 3) clustering, a general machine learning tool.
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Vakili, Mohammadjavad. "Methods in Computational Cosmology." Thesis, New York University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10260795.

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State of the inhomogeneous universe and its geometry throughout cosmic history can be studied by measuring the clustering of galaxies and the gravitational lensing of distant faint galaxies. Lensing and clustering measurements from large datasets provided by modern galaxy surveys will forever shape our understanding of the how the universe expands and how the structures grow. Interpretation of these rich datasets requires careful characterization of uncertainties at different stages of data analysis: estimation of the signal, estimation of the signal uncertainties, model predictions, and connecting the model to the signal through probabilistic means. In this thesis, we attempt to address some aspects of these challenges.

The first step in cosmological weak lensing analyses is accurate estimation of the distortion of the light profiles of galaxies by large scale structure. These small distortions, known as the cosmic shear signal, are dominated by extra distortions due to telescope optics and atmosphere (in the case of ground-based imaging). This effect is captured by a kernel known as the Point Spread Function (PSF) that needs to be fully estimated and corrected for. We address two challenges a head of accurate PSF modeling for weak lensing studies. The first challenge is finding the centers of point sources that are used for empirical estimation of the PSF. We show that the approximate methods for centroiding stars in wide surveys are able to optimally saturate the information content that is retrievable from astronomical images in the presence of noise.

The fist step in weak lensing studies is estimating the shear signal by accurately measuring the shapes of galaxies. Galaxy shape measurement involves modeling the light profile of galaxies convolved with the light profile of the PSF. Detectors of many space-based telescopes such as the Hubble Space Telescope (HST) sample the PSF with low resolution. Reliable weak lensing analysis of galaxies observed by the HST camera requires knowledge of the PSF at a resolution higher than the pixel resolution of HST. This PSF is called the super-resolution PSF. In particular, we present a forward model of the point sources imaged through filters of the HST WFC3 IR channel. We show that this forward model can accurately estimate the super-resolution PSF. We also introduce a noise model that permits us to robustly analyze the HST WFC3 IR observations of the crowded fields.

Then we try to address one of the theoretical uncertainties in modeling of galaxy clustering on small scales. Study of small scale clustering requires assuming a halo model. Clustering of halos has been shown to depend on halo properties beyond mass such as halo concentration, a phenomenon referred to as assembly bias. Standard large-scale structure studies with halo occupation distribution (HOD) assume that halo mass alone is sufficient to characterize the connection between galaxies and halos. However, assembly bias could cause the modeling of galaxy clustering to face systematic effects if the expected number of galaxies in halos is correlated with other halo properties. Using high resolution N-body simulations and the clustering measurements of Sloan Digital Sky Survey (SDSS) DR7 main galaxy sample, we show that modeling of galaxy clustering can slightly improve if we allow the HOD model to depend on halo properties beyond mass.

One of the key ingredients in precise parameter inference using galaxy clustering is accurate estimation of the error covariance matrix of clustering measurements. This requires generation of many independent galaxy mock catalogs that accurately describe the statistical distribution of galaxies in a wide range of physical scales. We present a fast and accurate method based on low-resolution N-body simulations and an empirical bias model for generating mock catalogs. We use fast particle mesh gravity solvers for generation of dark matter density field and we use Markov Chain Monti Carlo (MCMC) to estimate the bias model that connects dark matter to galaxies. We show that this approach enables the fast generation of mock catalogs that recover clustering at a percent-level accuracy down to quasi-nonlinear scales.

Cosmological datasets are interpreted by specifying likelihood functions that are often assumed to be multivariate Gaussian. Likelihood free approaches such as Approximate Bayesian Computation (ABC) can bypass this assumption by introducing a generative forward model of the data and a distance metric for quantifying the closeness of the data and the model. We present the first application of ABC in large scale structure for constraining the connections between galaxies and dark matter halos. We present an implementation of ABC equipped with Population Monte Carlo and a generative forward model of the data that incorporates sample variance and systematic uncertainties. (Abstract shortened by ProQuest.)

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Wilson, John Max. "Computational Studies of Geophysical Systems." Thesis, University of California, Davis, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=10979293.

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Earthquakes and tsunamis represent two of the most devastating natural disasters faced by humankind. Earthquakes can occur in matters of seconds, with little to no warning. The governing variables of earthquakes, namely the stress profiles of vast regions of the earth's crust, cannot be measured in a comprehensive manner. Similarly, tsunami parameters are often accurately determined only minutes before waves make landfall. We are therefore left only with statistical analyses of past events to produce hazard forecasts for these disasters. Unfortunately, the events that cause the most damage also occur infrequently, and most regions have scientific records of earthquakes going back only a century, with modern instrumentation being widely distributed only in the past few decades. The 2011 M=9 Tohoku earthquake and tsunami, which killed close to sixteen thousand people, is the perfect case study of a country heavily invested in earthquake and tsunami risk reduction, yet being unprepared for a once-in-a-millennium event.

Physics-based simulations are some of the most promising tools for learning more about these systems. These tools can be used to study many thousands of years worth of synthetic seismicity. Additionally, scaling laws present in such complex geophysical systems can provide insights into dynamics otherwise hidden from view. This dissertation represents a collection of studies using these two tools. First, the Virtual Quake earthquake simulator is introduced, along with some of my contributions to its functionality and maintenance. A method based on Omori aftershock scaling is presented for verifying the spatial distribution of synthetic earthquakes produced by long-term simulators. The use of aftershock ground motion records to improve constraints on those same aftershock models is then explored. Finally, progress in constructing a tsunami early warning system based on the coupling of Virtual Quake and the Tsunami Squares wave simulator is presented. Taken together, these studies demonstrate the versatility and strength of complexity science and computational methods in the context of hazard analysis.

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Venkataram, Prashanth Sanjeev. "Computational investigations of nanophotonic systems." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92676.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Physics, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 105-106).
In this thesis, I developed code in the MEEP finite-difference time domain classical electromagnetic solver to simulate the quantum phenomenon of spontaneous emission and its enhancement by a photonic crystal. The results of these simulations were favorably cross-checked with semi-analytical predictions and experimental results. This code was further extended to simulate spontaneous emission from the top half of a sphere, where the top half is a dielectric material and the bottom half is a metal, in order to determine how effective the metal is at reflecting the emission toward the top. Separately, I used the SCUFF-EM boundary element method classical electromagnetic solver to simulate absorption and scattering, together called extinction, of infrared light from nanoparticles, and used those results to optimize the nanoparticle shapes and sizes for extinction at the desired infrared wavelength.
by Prashanth Sanjeev Venkataram.
S.B.
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Thompson, Travis W. "Tuning the Photochemical Reactivity of Electrocyclic Reactions| A Non-adiabatic Molecular Dynamics Study." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10839950.

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We use non-adiabatic ab initio molecular dynamics to study the influence of substituent side groups on the photoactive unit (Z)-hexa-1,3,5-triene (HT). The Time-Dependent Density Functional Theory Surface Hopping method (TDDFT-SH) is used to investigate the influence of substituted isopropyl and methyl groups on the excited state dynamics. The 1,4 and 2,5-substituted molecules are simulated: 2,5-dimethylhexa-1,3,5-triene (DMHT), 2-isopropyl-5-methyl-1,3,5-hexatriene (2,5-IMHT), 3,7-dimethylocta-1,3,5-triene (1,4-IMHT), and 2,5-diisopropyl-1,3,5-hexatriene (DIHT). We find that HT and 1,4-IMHT have the lowest ring-closing branching ratios of 5.3% and 1.0%, respectively. For the 2,5-substituted derivatives, the branching ratio increases with increasing size of the substituents, exhibiting yields of 9.78%, 19%, and 24% for DMHT, 2,5-IMHT, and DIHT, respectively. The reaction channels are shown to prefer certain conformation configurations at excitation, where the ring-closing reaction tends to originate from the gauche-Z-gauche (gZg) rotamer almost exclusively. In addition, there is a conformational dependency on absorption, gZg conformers have on average lower S1 ← S0 excitation energies that the other rotamers. Furthermore, we develop a method to calculate a predicted quantum yield that is in agreement with the wavelength-dependence observed in experiment for DMHT. In addition, the quantum yield method also predicts DIHT to have the highest CHD yield of 0.176 at 254 nm and 0.390 at 290 nm.

Additionally, we study the vitamin D derivative Tachysterol (Tachy) which exhibits similar photochemical properties as HT and its derivatives. We find the reaction channels of Tachy also have a conformation dependency, where the reactive products toxisterol-D1 (2.3%), previtamin D (1.4%) and cyclobutene toxisterol (0.7%) prefer cEc, cEt, and tEc configurations at excitation, leaving the tEt completely non-reactive. The rotamers similarly have a dependence on absorption as well, where the cEc configuration has the lowest energy S 1 ← S0 excitation of the rotamers. The wavelength dependence of the rotamers should lead to selective properties of these molecules at excitation. An excitation to the red-shifted side of the maximum absorption peak will on average lead to excitations of the gZg rotamers more exclusively.

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Darmawan, Andrew. "Quantum computational phases of matter." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/11640.

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Universal quantum computation can be realised by measuring individual particles in a specially entangled state of many particles, called a universal resource state. This model of quantum computation, called measurement-based quantum computation (MBQC), provides a framework for studying the intrinsic computational power of physical systems. In this thesis I will investigate how universal resource states may arise naturally as ground states of interacting spin systems. In particular, I will describe new 'phases' of quantum matter, which are characterised by having universal resource states as ground states. This direction of research allows us to draw on techniques from both many-body quantum physics and quantum information theory.
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Allehabi, Saleh. "Computational Spectroscopy of C-Like Mg VII." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2018. http://digitalcommons.auctr.edu/cauetds/153.

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In this thesis, energy levels, lifetimes, oscillator strengths and transition probabilities of Mg VII have been calculated. The Hartree-Fock (HF) and Multiconfiguration Hartree-Fock (MCHF) methods were used in the calculations of these atomic properties. We have included relativistic operators mass correction, spin-orbit interaction, one body Darwin term and spin-other-orbit interaction in the Breit-Pauli Hamiltonian. The configurations, (1s2)2s22p2, 2s2p3,2p4, 2s22p3s, 2s22p3p,2s2p2(4P)3s and 2s22p3d which correspond to 52 fine-structure levels, were included in the atomic model for the Mg VII ions. The present results have been compared with NIST compilation and other theoretical results, and generally a good agreement was found.
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Flint, Christopher Robert. "Computational Methods of Lattice Boltzmann Mhd." W&M ScholarWorks, 2017. https://scholarworks.wm.edu/etd/1530192360.

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Lattice Boltzmann (LB) Methods are a somewhat novel approach to Computational Fluid Dynamics (CFD) simulations. These methods simulate Navier-Stokes and magnetohydrodynamics (MHD) equations on the mesoscopic (quasi-kinetic) scale by solving for a statistical distribution of particles rather than attempting to solve the nonlinear macroscopic equations directly. These LB methods allow for a highly parallelizable code since one replaces the difficult nonlinear convective derivatives of MHD by simple linear advection on a lattice. New developments in LB have significantly extended the numerical stability limits of its applicability. These developments include multiple relaxation times (MRT) in the collision operators, maximizing entropy to ensure positive definiteness in the distribution functions, as well as large eddy simulations of MHD turbulence. Improving the limits of this highly parallelizable simulation method allows it to become an ideal candidate for simulating various fluid and plasma problems; improving both the speed of the simulation and the spatial grid resolution of the LB algorithms on today's high performance supercomputers. Some of these LB extensions are discussed and tested against various problems in magnetized plasmas.
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Shi, Hao. "Computational Studies of Strongly Correlated Quantum Matter." W&M ScholarWorks, 2017. https://scholarworks.wm.edu/etd/1499450059.

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The study of strongly correlated quantum many-body systems is an outstanding challenge. Highly accurate results are needed for the understanding of practical and fundamental problems in condensed-matter physics, high energy physics, material science, quantum chemistry and so on. Our familiar mean-field or perturbative methods tend to be ineffective. Numerical simulations provide a promising approach for studying such systems. The fundamental difficulty of numerical simulation is that the dimension of the Hilbert space needed to describe interacting systems increases exponentially with the system size. Quantum Monte Carlo (QMC) methods are one of the best approaches to tackle the problem of enormous Hilbert space. They have been highly successful for boson systems and unfrustrated spin models. For systems with fermions, the exchange symmetry in general causes the infamous sign problem, making the statistical noise in the computed results grow exponentially with the system size. This hinders our understanding of interesting physics such as high-temperature superconductivity, metal-insulator phase transition. In this thesis, we present a variety of new developments in the auxiliary-field quantum Monte Carlo (AFQMC) methods, including the incorporation of symmetry in both the trial wave function and the projector, developing the constraint release method, using the force-bias to drastically improve the efficiency in Metropolis framework, identifying and solving the infinite variance problem, and sampling Hartree-Fock-Bogoliubov wave function. With these developments, some of the most challenging many-electron problems are now under control. We obtain an exact numerical solution of two-dimensional strongly interacting Fermi atomic gas, determine the ground state properties of the 2D Fermi gas with Rashba spin-orbit coupling, provide benchmark results for the ground state of the two-dimensional Hubbard model, and establish that the Hubbard model has a stripe order in the underdoped region.
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Books on the topic "Computational physics"

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Vesely, Franz J. Computational Physics. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6.

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Hoffmann, Karl Heinz, and Michael Schreiber, eds. Computational Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-85238-1.

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Scherer, Philipp O. J. Computational Physics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13990-1.

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Vesely, Franz J. Computational Physics. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1329-2.

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Scherer, Philipp O. J. Computational Physics. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61088-7.

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Scherer, Philipp O. J. Computational Physics. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00401-3.

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Ernesto, Hasbun Javier, and DeVries Paul L. 1948-, eds. Computational physics. 2nd ed. Sudbury, Mass: Jones and Bartlett Publishers, 2011.

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Thijssen, J. M. Computational physics. Cambridge: Cambridge University Press, 1999.

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Thijssen, J. M. Computational physics. Cambridge: Cambridge University Press, 1999.

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Hisao, Nakanishi, ed. Computational physics. 2nd ed. Upper Saddle River, NJ: Pearson/Prentice Hall, 2006.

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Book chapters on the topic "Computational physics"

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Graziani, Frank R. "Computational Plasma Physics." In Encyclopedia of Applied and Computational Mathematics, 278–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-540-70529-1_585.

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Singh, M. Shubhakanta. "Computational Physics– Application in Physical Systems." In Programming with Python, 259–306. London: CRC Press, 2023. http://dx.doi.org/10.1201/9781003453307-12.

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Finster, Felix. "Computational Tools." In Fundamental Theories of Physics, 81–207. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42067-7_2.

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Das, Tapan Kumar. "Computational Techniques." In Theoretical and Mathematical Physics, 141–56. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2361-0_10.

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Vesely, Franz J. "Finite Differences." In Computational Physics, 7–22. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6_1.

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Vesely, Franz J. "Linear Algebra." In Computational Physics, 23–49. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6_2.

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Vesely, Franz J. "Stochastics." In Computational Physics, 51–92. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6_3.

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Vesely, Franz J. "Ordinary Differential Equations." In Computational Physics, 97–135. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6_4.

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Vesely, Franz J. "Partial Differential Equations." In Computational Physics, 137–70. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6_5.

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Vesely, Franz J. "Simulation and Statistical Mechanics." In Computational Physics, 175–206. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4757-2307-6_6.

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Conference papers on the topic "Computational physics"

1

Fredly, Karl Henrik, Tor Ole B. Odden, and Benjamin M. Zwickl. "How Computational Physics Students Improve their Computational Literacy." In 2024 Physics Education Research Conference, 138–43. American Association of Physics Teachers, 2024. http://dx.doi.org/10.1119/perc.2024.pr.fredly.

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Gardner, Henry J., and Craig M. Savage. "Computational Physics." In Ninth Physics Summer School. WORLD SCIENTIFIC, 1997. http://dx.doi.org/10.1142/9789814530002.

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Potvin, J. "Computational Physics." In 2nd IMACS Conference on Computational Physics. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814534420.

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Tenner, Armin. "Computational Physics." In CP90 Europhysics Conference. WORLD SCIENTIFIC, 1991. http://dx.doi.org/10.1142/9789814539494.

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Garrido, Pedro L., and Joaquín Marro. "Computational Physics." In II Granada Lectures. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814536691.

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Aiken, John M., Marcos D. Caballero, Scott S. Douglas, John B. Burk, Erin M. Scanlon, Brian D. Thoms, and Michael F. Schatz. "Understanding student computational thinking with computational modeling." In 2012 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2013. http://dx.doi.org/10.1063/1.4789648.

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Lin, H. Q. "Computational Many-Body Physics and Parallel Computation in Hong Kong." In Proceedings of the Third Joint Meeting of Chinese Physicists Worldwide. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776785_0021.

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Bottcher, C., M. R. Strayer, and J. B. McGrory. "Computational Atomic and Nuclear Physics." In Summer School on Computational Atomic and Nuclear Physic. WORLD SCIENTIFIC, 1990. http://dx.doi.org/10.1142/9789814540773.

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Nur, A. "Computational Rock Physics for Shales." In EAGE Shale Workshop 2010. Netherlands: EAGE Publications BV, 2010. http://dx.doi.org/10.3997/2214-4609.20145375.

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Bocaneala, Florin. "A computational model for physics learning." In 2003 PHYSICS EDUCATION RESEARCH CONFERENCE: 2003 Physics Education Conference. AIP, 2004. http://dx.doi.org/10.1063/1.1807268.

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Reports on the topic "Computational physics"

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Fung, Jimmy. Computational Physics Overview. Office of Scientific and Technical Information (OSTI), June 2022. http://dx.doi.org/10.2172/1873320.

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Scarlett, Harry Alan. Nuclear Weapons Computational Physics. Office of Scientific and Technical Information (OSTI), May 2020. http://dx.doi.org/10.2172/1630832.

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Rhodes, Charles K. Advanced Computational Physics Instrumentation. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada391009.

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Nadiga, Balasubramanya, and Robert Lowrie. Physics Informed Neural Networks as Computational Physics Emulators. Office of Scientific and Technical Information (OSTI), June 2023. http://dx.doi.org/10.2172/1985825.

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Lasinski, B., D. Larson, D. Hewett, A. Langdon, and C. Still. Computational Methods for Collisional Plasma Physics. Office of Scientific and Technical Information (OSTI), February 2004. http://dx.doi.org/10.2172/15009790.

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Andrews, Madison, Daniel Israel, and Joel Kulesza. List of 2021 Computational Physics Workshop Projects. Office of Scientific and Technical Information (OSTI), December 2020. http://dx.doi.org/10.2172/1734704.

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Jimmy, Fung. Computational Physics at Los Alamos National Laboratory. Office of Scientific and Technical Information (OSTI), June 2024. http://dx.doi.org/10.2172/2372660.

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Schumacher, Shane. Hybrid Particle Method for Computational Shock Physics. Office of Scientific and Technical Information (OSTI), June 2023. http://dx.doi.org/10.2172/2432274.

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Hewett, D. W. Simulation models for computational plasma physics: Concluding report. Office of Scientific and Technical Information (OSTI), March 1994. http://dx.doi.org/10.2172/10142303.

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Rehn, Daniel Adam. Equation of state (EOS) for computational multi-physics. Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1529525.

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