Journal articles: 'Computational physics|Condensed matter physics|Biophysics'

1

Godwal, B. K. "Computational condensed matter physics." Bulletin of Materials Science 22, no. 5 (August 1999): 877–84. http://dx.doi.org/10.1007/bf02745548.

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McClintock, Peter V. E. "Experimental and Computational Techniques in Soft Condensed Matter Physics, edited by Jeffrey Olafsen." Contemporary Physics 52, no. 5 (September 2011): 486. http://dx.doi.org/10.1080/00107514.2011.580058.

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Karney, Charles F. F. "Modern computational techniques in plasma physics." Physics of Plasmas 5, no. 5 (May 1998): 1632–35. http://dx.doi.org/10.1063/1.872831.

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Stephen, David T., Hendrik Poulsen Nautrup, Juani Bermejo-Vega, Jens Eisert, and Robert Raussendorf. "Subsystem symmetries, quantum cellular automata, and computational phases of quantum matter." Quantum 3 (May 20, 2019): 142. http://dx.doi.org/10.22331/q-2019-05-20-142.

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Quantum phases of matter are resources for notions of quantum computation. In this work, we establish a new link between concepts of quantum information theory and condensed matter physics by presenting a unified understanding of symmetry-protected topological (SPT) order protected by subsystem symmetries and its relation to measurement-based quantum computation (MBQC). The key unifying ingredient is the concept of quantum cellular automata (QCA) which we use to define subsystem symmetries acting on rigid lower-dimensional lines or fractals on a 2D lattice. Notably, both types of symmetries are treated equivalently in our framework. We show that states within a non-trivial SPT phase protected by these symmetries are indicated by the presence of the same QCA in a tensor network representation of the state, thereby characterizing the structure of entanglement that is uniformly present throughout these phases. By also formulating schemes of MBQC based on these QCA, we are able to prove that most of the phases we construct are computationally universal phases of matter, in which every state is a resource for universal MBQC. Interestingly, our approach allows us to construct computational phases which have practical advantages over previous examples, including a computational speedup. The significance of the approach stems from constructing novel computationally universal phases of matter and showcasing the power of tensor networks and quantum information theory in classifying subsystem SPT order.

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BINDER, K. "LARGE-SCALE SIMULATIONS IN CONDENSED MATTER PHYSICS —THE NEED FOR A TERAFLOP COMPUTER." International Journal of Modern Physics C 03, no. 03 (June 1992): 565–81. http://dx.doi.org/10.1142/s0129183192000373.

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The introduction of vector processors {“supercomputers” with a performance in the range of 109 floating point operations (1 GFLOP) per second} has had an enormous impact on computational condensed matter physics. The possibility of a substantially enhanced performance by massively parallel processors (“teraflop” machines with 1012 floating point operations per second) will allow satisfactory treatment of a large range of important scientific problems which have to a great extent thus far escaped numerical resolution. The present paper describes only a few examples (out of a long list of interesting research problems!) for which the availability of “teraflops” will allow spectacular progress, i.e., the modelling of dense macromolecular systems and metallic alloys by molecular dynamics and Monte Carlo simulations.

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Probert, Matt. "Symmetry and Condensed Matter Physics – A Computational Approach, by M. El-Batanouny and F. Wooten." Contemporary Physics 51, no. 5 (September 2010): 457–58. http://dx.doi.org/10.1080/00107510903395937.

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Schultz, D. R., P. S. Krstic, T. Minami, M. S. Pindzola, F. J. Robicheaux, J. P. Colgan, S. D. Loch, et al. "Computational atomic physics for plasma edge modeling." Contributions to Plasma Physics 44, no. 13 (April 2004): 247–51. http://dx.doi.org/10.1002/ctpp.200410036.

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Smit, Berend. "Computational physics in petrochemical industry." Physica Scripta T66 (January 1, 1996): 80–84. http://dx.doi.org/10.1088/0031-8949/1996/t66/010.

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Janatipour, Najmeh, Zabiollah Mahdavifar, Siamak Noorizadeh, and Fazel Shojaei. "Modifying the electronic and geometrical properties of mono/bi-layer graphite-like BC2N via alkali metal (Li, Na) adsorption and intercalation: computational approach." New Journal of Chemistry 43, no. 33 (2019): 13122–33. http://dx.doi.org/10.1039/c9nj02260k.

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Pursky, O. I., T. V. Dubovyk, V. O. Babenko, V. F. Gamaliy, R. A. Rasulov, and R. P. Romanenko. "Computational method for studying the thermal conductivity of molecular crystals in the course of condensed matter physics." Journal of Physics: Conference Series 1840, no. 1 (March 1, 2021): 012015. http://dx.doi.org/10.1088/1742-6596/1840/1/012015.

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SUGAR, R. L. "NUMERICAL STUDIES OF MANY ELECTRON SYSTEMS." International Journal of Modern Physics C 01, no. 02n03 (September 1990): 215–32. http://dx.doi.org/10.1142/s0129183190000128.

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The numerical simulation of many electron systems in condensed matter physics is described. Numerical algorithms are discussed in detail, and results are presented from simulations of the Hubbard model in two and three dimensions.

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SOMMA, ROLANDO, HOWARD BARNUM, EMANUEL KNILL, GERARDO ORTIZ, and LORENZO VIOLA. "GENERALIZED ENTANGLEMENT AND QUANTUM PHASE TRANSITIONS." International Journal of Modern Physics B 20, no. 19 (July 30, 2006): 2760–69. http://dx.doi.org/10.1142/s0217979206035266.

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Quantum phase transitions in matter are characterized by qualitative changes in some correlation functions of the system, which are ultimately related to entanglement. In this work, we study the second-order quantum phase transitions present in models of relevance to condensed-matter physics by exploiting the notion of generalized entanglement [Barnum et al., Phys. Rev. A 68, 032308 (2003)]. In particular, we focus on the illustrative case of a one-dimensional spin-1/2 Ising model in the presence of a transverse magnetic field. Our approach leads to tools useful for distinguishing between the ordered and disordered phases in the case of broken-symmetry quantum phase transitions. Possible extensions to the study of other kinds of phase transitions as well as of the relationship between generalized entanglement and computational efficiency are also discussed.

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Hasnip, Philip J., Keith Refson, Matt I. J. Probert, Jonathan R. Yates, Stewart J. Clark, and Chris J. Pickard. "Density functional theory in the solid state." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372, no. 2011 (March 13, 2014): 20130270. http://dx.doi.org/10.1098/rsta.2013.0270.

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Density functional theory (DFT) has been used in many fields of the physical sciences, but none so successfully as in the solid state. From its origins in condensed matter physics, it has expanded into materials science, high-pressure physics and mineralogy, solid-state chemistry and more, powering entire computational subdisciplines. Modern DFT simulation codes can calculate a vast range of structural, chemical, optical, spectroscopic, elastic, vibrational and thermodynamic phenomena. The ability to predict structure–property relationships has revolutionized experimental fields, such as vibrational and solid-state NMR spectroscopy, where it is the primary method to analyse and interpret experimental spectra. In semiconductor physics, great progress has been made in the electronic structure of bulk and defect states despite the severe challenges presented by the description of excited states. Studies are no longer restricted to known crystallographic structures. DFT is increasingly used as an exploratory tool for materials discovery and computational experiments, culminating in ex nihilo crystal structure prediction, which addresses the long-standing difficult problem of how to predict crystal structure polymorphs from nothing but a specified chemical composition. We present an overview of the capabilities of solid-state DFT simulations in all of these topics, illustrated with recent examples using the CASTEP computer program.

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Giruzzi, G., J. Garcia, J. F. Artaud, V. Basiuk, J. Decker, F. Imbeaux, Y. Peysson, and M. Schneider. "Advances on modelling of ITER scenarios: physics and computational challenges." Plasma Physics and Controlled Fusion 53, no. 12 (November 14, 2011): 124010. http://dx.doi.org/10.1088/0741-3335/53/12/124010.

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Eastwood, J. W. "Computing in Plasma Physics (Report on the Eighth Conference on Computational Physics, Eibsee, 13–16 May 1986)." Nuclear Fusion 27, no. 1 (January 1, 1987): 181–84. http://dx.doi.org/10.1088/0029-5515/27/1/019.

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Xu, Ziyang, Lijuan Gao, Pengyu Chen, and Li-Tang Yan. "Diffusive transport of nanoscale objects through cell membranes: a computational perspective." Soft Matter 16, no. 16 (2020): 3869–81. http://dx.doi.org/10.1039/c9sm02338k.

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Clarifying the diffusion dynamics of nanoscale objects with cell membrane is critical for revealing fundamental physics in biological systems. This perspective highlights the advances in computational and theoretical aspects of this emerging field.

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Kaur, Gurleen, and Anju Bala. "A survey of prediction-based resource scheduling techniques for physics-based scientific applications." Modern Physics Letters B 32, no. 25 (September 5, 2018): 1850295. http://dx.doi.org/10.1142/s0217984918502950.

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The state-of-the-art physics alliances have augmented various opportunities to solve complex real-world problems. These problems require both multi-disciplinary expertise as well as large-scale computational experiments. Therefore, the physics community needs a flexible platform which can handle computational challenges such as volume of data, platform heterogeneity, application complexity, etc. Cloud computing provides an incredible amount of resources for scientific users on-demand, thus, it has become a potential platform for executing scientific applications. To manage the resources of Cloud efficiently, it is required to explore the resource prediction and scheduling techniques for scientific applications which can be deployed on Cloud. This paper discusses an extensive analysis of scientific applications, resource predictions and scheduling techniques for Cloud computing environment. Further, the trend of resource prediction-based scheduling and the existing techniques have also been studied. This paper would be helpful for the readers to explore the significance of resource prediction-based scheduling techniques for physics-based scientific applications along with the associated challenges.

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Zhang, Linan, Ziwang Guo, Liqun Wu, and Chao Chen. "Computational modeling of fabrication of nanoneedle based on multi-physics analysis." Ferroelectrics 554, no. 1 (January 2, 2020): 104–9. http://dx.doi.org/10.1080/00150193.2019.1684769.

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19

Cohen, Bruce I. "Perspectives on Research in Computational Plasma Physics With Applications to Experiments." IEEE Transactions on Plasma Science 48, no. 4 (April 2020): 757–67. http://dx.doi.org/10.1109/tps.2019.2944331.

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Ivanov, M. S., and S. F. Gimelshein. "COMPUTATIONAL HYPERSONIC RAREFIED FLOWS." Annual Review of Fluid Mechanics 30, no. 1 (January 1998): 469–505. http://dx.doi.org/10.1146/annurev.fluid.30.1.469.

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Morley, P. D., and D. J. Buettner. "Dark matter in the local group of galaxies." International Journal of Modern Physics D 26, no. 07 (January 19, 2017): 1750069. http://dx.doi.org/10.1142/s0218271817500699.

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We describe the neutrino flavor ([Formula: see text], [Formula: see text], [Formula: see text]) masses as [Formula: see text] [Formula: see text] with [Formula: see text] and probably [Formula: see text]. The quantity [Formula: see text] is the degenerate neutrino mass. Because neutrino flavor is not a quantum number, this degenerate mass appears in the neutrino equation-of-state [P. D. Morley and D. J. Buettner, Int. J. Mod. Phys. D (2014), doi:10.1142/s0218271815500042.]. We apply a Monte Carlo computational physics technique to the Local Group (LG) of galaxies to determine an approximate location for a Dark Matter embedding Condensed Neutrino Object (CNO) [P. D. Morley and D. J. Buettner, Int. J. Mod. Phys. D (2016), doi:10.1142/s0218271816500899.]. The calculation is based on the rotational properties of the only spiral galaxies within the LG: M31, M33 and the Milky Way. CNOs could be the Dark Matter everyone is looking for and we estimate the CNO embedding the LG to have a mass 5.17[Formula: see text] M[Formula: see text] and a radius 1.316 Mpc, with the estimated value of [Formula: see text] eV[Formula: see text]/c2. The up-coming KATRIN experiment [https://www.katrin.kit.edu.] will either be the definitive result or eliminate condensed neutrinos as a Dark Matter candidate.

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Pandit, Sapna, Ram Jiwari, Karan Bedi, and Mehmet Emir Koksal. "Haar wavelets operational matrix based algorithm for computational modelling of hyperbolic type wave equations." Engineering Computations 34, no. 8 (November 6, 2017): 2793–814. http://dx.doi.org/10.1108/ec-10-2016-0364.

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Purpose The purpose of this study is to develop an algorithm for approximate solutions of nonlinear hyperbolic partial differential equations. Design/methodology/approach In this paper, an algorithm based on the Haar wavelets operational matrix for computational modelling of nonlinear hyperbolic type wave equations has been developed. These types of equations describe a variety of physical models in nonlinear optics, relativistic quantum mechanics, solitons and condensed matter physics, interaction of solitons in collision-less plasma and solid-state physics, etc. The algorithm reduces the equations into a system of algebraic equations and then the system is solved by the Gauss-elimination procedure. Some well-known hyperbolic-type wave problems are considered as numerical problems to check the accuracy and efficiency of the proposed algorithm. The numerical results are shown in figures and Linf, RMS and L2 error forms. Findings The developed algorithm is used to find the computational modelling of nonlinear hyperbolic-type wave equations. The algorithm is well suited for some well-known wave equations. Originality/value This paper extends the idea of one dimensional Haar wavelets algorithms (Jiwari, 2015, 2012; Pandit et al., 2015; Kumar and Pandit, 2014, 2015) for two-dimensional hyperbolic problems and the idea of this algorithm is quite different from the idea for elliptic problems (Lepik, 2011; Shi et al., 2012). Second, the algorithm and error analysis are new for two-dimensional hyperbolic-type problems.

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Dykman, M. I., and P. M. Platzman. "Quantum computing with electrons floating on liquid helium." Quantum Information and Computation 1, Special (December 2001): 102–7. http://dx.doi.org/10.26421/qic1.s-10.

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Electrons on a helium surface form a quasi two-dimensional system which displays the highest mobility reached in condensed matter physics. We propose to use this system as a set of interacting quantum bits. We will briefly describe the system and discuss how the qubits can be addressed and manipulated. The working frequency of the proposed quantum computer is ~ 1GHz. Careful analysis shows that the relaxation rate can be at least 5 orders of magnitude smaller, for low temperatures.

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Morimae, Tomoyuki, Vedran Dunjko, and Elham Kashefi. "Ground state blind quantum computation on AKLT state." Quantum Information and Computation 15, no. 3&4 (March 2015): 200–234. http://dx.doi.org/10.26421/qic15.3-4-2.

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The blind quantum computing protocols (BQC) enable a classical client with limited quantum technology to delegate a computation to the quantum server(s) in such a way that the privacy of the computation is preserved. Here we present a new scheme for BQC that uses the concept of the measurement based quantum computing with the novel resource state of Affleck-Kennedy-Lieb-Tasaki (AKLT) chains leading to more robust computation. AKLT states are physically motivated resource as they are gapped ground states of a physically natural Hamiltonian in condensed matter physics. Our BQC protocol can enjoy the advantages of AKLT resource states (in a multiserver setup), such as the cooling preparation of the resource state, the energy-gap protection of the quantum computation. It also provides a simple and efficient preparation of the resource state in linear optics with biphotons.

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Maung, Aung Phone, and Chung Hao Hsu. "A Study on Phonon-Mediated Thermal Transport and Lattice Thermal Conductivity Prediction Using First-Principles Calculations." Key Engineering Materials 847 (June 2020): 120–26. http://dx.doi.org/10.4028/www.scientific.net/kem.847.120.

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The systematic theoretical approaches and atomistic simulation programs to predict thermal properties of crystalline nanostructured materials within first-principles framework are studied here. Recent progress in computational power has enabled an accurate and reliable way to investigate nanoscale thermal transport in crystalline materials using first-principles based calculations. Extracting a large set of anharmonic force constants with low computational effort remains a big challenge in lattice dynamics and condensed-matter physics. This paper focuses on recent progress in first-principles phonon calculations for semiconductor materials and summarizes advantages and limitations of each approach and simulation programs by comparing accuracy of numerical solutions, computational load and calculating feasibility to a wide range of crystalline materials. This work also reviews and presents the coupling model of first-principles molecular dynamic (FPMD) approach that can extract anharmonic force constants directly and solution of linearized Boltzmann transport equation to predict phonon-mediated lattice thermal conductivity of crystalline materials.

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METWALLY, NASSER, M. ABDEL-ATY, and M. SEBAWE ABDALLA. "CONTROLLING THE QUANTUM COMPUTATIONAL SPEED." International Journal of Modern Physics B 22, no. 24 (September 30, 2008): 4143–51. http://dx.doi.org/10.1142/s0217979208049029.

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The speed of quantum computation is investigated through the time evolution of the speed of the orthogonality. The external field components for classical treatment besides the detuning and the coupling parameters for quantum treatment play important roles on the computational speed. It has been shown that the number of photons has no significant effect on the speed of computation. However, it is very sensitive to the variation in both detuning and the interaction coupling parameters.

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HASEGAWA, H., J. Z. MA, and T. TAKAMI. "QUANTUM LEVEL STATISTICS USEFUL FOR MESOSCOPIC PHYSICS." Surface Review and Letters 03, no. 01 (February 1996): 13–17. http://dx.doi.org/10.1142/s0218625x9600005x.

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We report on two results from our computational studies in quantum level statistics as a contribution to mesoscopic physics: (i) parametric motion of complex quantum levels and its dynamic treatment of second-derivative distribution for neighboring pairs (the so-called curvature distribution); (ii) intermediate statistics for long-range level correlation which exhibits a fractional power law, i.e., another manifestation of the fractional-power dependence like Sβ (0<β<1) familiar to Brody’s distribution, in the number variance and the Δ-statistics of Dyson-Mehta.

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Rajman, Najwa Huda, Zahir Hariz Zahanis, Siti Munirah Mohd, Fadzidah Mohd Idris, Kamarudin Shafinah, Nor Raihan Zulkefly, Nurhidaya Mohamad Jan, Hatika Kaco, and Mohamad Faiz Zainuddin. "Investigation with Gifted Students in Learning Physics Concept Based on Cognitive Structure." Journal of Computational and Theoretical Nanoscience 17, no. 2 (February 1, 2020): 1143–46. http://dx.doi.org/10.1166/jctn.2020.8778.

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Physics concept is an understanding of natural occurrence. Physics is one of the natural science subjects that involves the study of matter and motion through space and time, along with related concepts. The concepts of physics explained everything involving the environment and human relation that happened in our daily life. Physics is one of the toughest subjects. Many students have difficulty to understand the subject properly. The factor of difficulty in learning physics concept come from many aspects, which is subject matter, materials for learning, the environment in class, and teaching style. Therefore, this study aims at investigating the main factor affecting the understanding of student performance in physics subject. This study has been done by given question paper that is designed based on taxonomy bloom. The question paper consists of 10 questions divided into three stages of taxonomy bloom, which are C1 (remembering), C2 (understanding), and C3 (applying). The test has been conducted among 17 years old students in Kolej PERMATA Insan. The result of the test has been analyzed. Based on the test that has been held, the results showed that most students did not reach the minimum mark of for the three stages in taxonomy bloom mainly stage C3 questions that apply the physics concept in daily life. The results from the test showed that physic is a tough subject to be learned.

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Reardon, Jonathan, Joseph A. Schetz, and K. Todd Lowe. "Computational Modeling of Total-Temperature Probes." Journal of Thermophysics and Heat Transfer 31, no. 3 (July 2017): 609–20. http://dx.doi.org/10.2514/1.t4991.

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Boris, J. P. "New Directions in Computational Fluid Dynamics." Annual Review of Fluid Mechanics 21, no. 1 (January 1989): 345–85. http://dx.doi.org/10.1146/annurev.fl.21.010189.002021.

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Rubin, S. G., and J. C. Tannehill. "Parabolized/Reduced Navier-Stokes Computational Techniques." Annual Review of Fluid Mechanics 24, no. 1 (January 1992): 117–44. http://dx.doi.org/10.1146/annurev.fl.24.010192.001001.

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Wang, Meng, Jonathan B. Freund, and Sanjiva K. Lele. "COMPUTATIONAL PREDICTION OF FLOW-GENERATED SOUND." Annual Review of Fluid Mechanics 38, no. 1 (January 2006): 483–512. http://dx.doi.org/10.1146/annurev.fluid.38.050304.092036.

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Schneider, Kai, and Oleg V. Vasilyev. "Wavelet Methods in Computational Fluid Dynamics." Annual Review of Fluid Mechanics 42, no. 1 (January 2010): 473–503. http://dx.doi.org/10.1146/annurev-fluid-121108-145637.

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Lee, Seongbok, D. M. Bylander, Suck Whan Kim, and Leonard Kleinman. "Computational search for the real tetragonalB50." Physical Review B 45, no. 7 (February 15, 1992): 3248–51. http://dx.doi.org/10.1103/physrevb.45.3248.

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Turkel, E. "PRECONDITIONING TECHNIQUES IN COMPUTATIONAL FLUID DYNAMICS." Annual Review of Fluid Mechanics 31, no. 1 (January 1999): 385–416. http://dx.doi.org/10.1146/annurev.fluid.31.1.385.

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Levko, Dmitry, Rochan R. Upadhyay, Anand Karpatne, Douglas Breden, Kenta Suzuki, Victor Topalian, Chandrasekhar Shukla, and Laxminarayan L. Raja. "VizGrain: a new computational tool for particle simulations of reactive plasma discharges and rarefied flow physics." Plasma Sources Science and Technology 30, no. 5 (May 1, 2021): 055012. http://dx.doi.org/10.1088/1361-6595/abf47b.

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Srivastava, Anurag. "Selected Peer-Reviewed Articles from International Workshop/Conference on Computational Condensed Matter Physics and Materials Science (IWCCMP-2014), Gwalior, India, 25–30 November, 2014." Advanced Science Letters 21, no. 9 (September 1, 2015): 2675–76. http://dx.doi.org/10.1166/asl.2015.6330.

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Phipps, Claude. "Laser Plasma Physics: Forces and the Nonlinearity Principle." Laser and Particle Beams 19, no. 2 (April 2001): 317. http://dx.doi.org/10.1017/s0263034601002221.

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This is a Landau/Lifschitz-class book. It is a critically important reference work for the whole field of high intensity and/or high plasma density laser-plasma interactions for years to come. It covers everything from single particles to dense fluids, from computational physics to the practical results in fusion, accelerators, you name it. It contains excellent and crystal-clear treatments of the theory of electrodynamics, laser-driven hydrodynamics, the Lorentz force, complex refractive index, and relativistic effects in plasmas. Although “the swamp of plasma physics” is mostly a classical place, Hora clearly indicates where quantum effects must be considered.

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Nance, Robert P., Brian R. Hollis, Thomas J. Horvath, Stephen J. Alter, and H. A. Hassan. "Computational Study of Hypersonic Transitional Wake Flow." Journal of Thermophysics and Heat Transfer 13, no. 2 (April 1999): 236–42. http://dx.doi.org/10.2514/2.6441.

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Huang, Jialong, Chi Wang, Lijie Chang, Ya Zhang, Zhebin Wang, Lin Yi, and Wei Jiang. "Computational characterization of electron-beam-sustained plasma." Physics of Plasmas 26, no. 6 (June 2019): 063502. http://dx.doi.org/10.1063/1.5091466.

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Campbell, Eric J., and Prosenjit Bagchi. "A computational model of amoeboid cell swimming." Physics of Fluids 29, no. 10 (October 2017): 101902. http://dx.doi.org/10.1063/1.4990543.

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Roache, P. J. "QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS." Annual Review of Fluid Mechanics 29, no. 1 (January 1997): 123–60. http://dx.doi.org/10.1146/annurev.fluid.29.1.123.

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Agarwal, Ramesh. "COMPUTATIONAL FLUID DYNAMICS OF WHOLE-BODY AIRCRAFT." Annual Review of Fluid Mechanics 31, no. 1 (January 1999): 125–69. http://dx.doi.org/10.1146/annurev.fluid.31.1.125.

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Abraham, Farid F. "Computational statistical mechanics methodology, applications and supercomputing." Advances in Physics 35, no. 1 (January 1986): 1–111. http://dx.doi.org/10.1080/00018738600101851.

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Chinappi, Mauro, Fabio Cecconi, and Carlo Massimo Casciola. "Computational analysis of maltose binding protein translocation." Philosophical Magazine 91, no. 13-15 (May 2011): 2034–48. http://dx.doi.org/10.1080/14786435.2011.557670.

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Kim, H. D., J. H. Lee, T. Setoguchi, and S. Matsuo. "Computational analysis of a variable ejector flow." Journal of Thermal Science 15, no. 2 (June 2006): 140–44. http://dx.doi.org/10.1007/s11630-006-0140-5.

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Hu, H., S. S. Wu, and S. C. M. Yu. "Computational studies of lobed forced mixer flows." Journal of Thermal Science 7, no. 1 (March 1998): 22–28. http://dx.doi.org/10.1007/s11630-998-0021-1.

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TAO, JIANMIN, JOHN P. PERDEW, and ADRIENN RUZSINSZKY. "LONG-RANGE VAN DER WAALS INTERACTION." International Journal of Modern Physics B 27, no. 18 (July 10, 2013): 1330011. http://dx.doi.org/10.1142/s0217979213300119.

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Van der Waals interaction is an elusive many-body effect arising from instantaneous charge fluctuations. Fundamental understanding of this effect plays an important role in computational chemistry, physics and materials science. In this article, recent advances in the evaluation of van der Waals coefficients, in particular the higher-order ones, are reviewed.

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Adowski, Timothy R., and Paul T. Bauman. "Computational Modeling of Laser Absorption in Reacting Flows." Journal of Thermophysics and Heat Transfer 33, no. 3 (July 2019): 738–48. http://dx.doi.org/10.2514/1.t5593.

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Taylor, Charles A., and Mary T. Draney. "EXPERIMENTAL AND COMPUTATIONAL METHODS IN CARDIOVASCULAR FLUID MECHANICS." Annual Review of Fluid Mechanics 36, no. 1 (January 2004): 197–231. http://dx.doi.org/10.1146/annurev.fluid.36.050802.121944.

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Journal articles on the topic 'Computational physics|Condensed matter physics|Biophysics'

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