Relevant bibliographies by topics / Computational physics

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  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: 25 July 2025

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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 concern
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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 (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 (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 (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 (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 (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 (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 pro
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Nardelli, Marco Buongiorno. "Computation “is” Physics!: Computational Physics: Nicholas J. Giordano and Hisao Nakanishi." Physics Teacher 44, no. 7 (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
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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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<p> 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 c
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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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<p> 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
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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.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 105-106).<br>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
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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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<p> We use non-adiabatic <i>ab initio</i> 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
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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 gr
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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 VI
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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 st
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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 syst
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Books on the topic "Computational physics"

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

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

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Scherer, Philipp O. J. Computational Physics. 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. 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. Jones and Bartlett Publishers, 2011.

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

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

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Hisao, Nakanishi, ed. Computational physics. 2nd ed. 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. 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. CRC Press, 2023. http://dx.doi.org/10.1201/9781003453307-12.

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Finster, Felix. "Computational Tools." In Fundamental Theories of Physics. 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. 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. 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. 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. 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. 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. 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. 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"

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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. 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, et al. "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. 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), 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), 2020. http://dx.doi.org/10.2172/1630832.

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Rhodes, Charles K. Advanced Computational Physics Instrumentation. Defense Technical Information Center, 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), 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), 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), 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), 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), 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), 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), 2019. http://dx.doi.org/10.2172/1529525.

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