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Computational physics

Known as: Computation in physics 
Computational physics is the study and implementation of numerical analysis to solve problems in physics for which a quantitative theory already… 
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Related topics

Related topics

50 relations
Advanced Simulation LibraryApproximation errorComplexityComputational archaeology

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2018
Highly Cited
2018
Experimental study to obtain the viscosity of CuO-loaded nanofluid: effects of nanoparticles’ mass fraction, temperature and basefluid’s types to develop a correlation
In this study, the impacts of temperature, nanoparticles mass fraction, and basefluid types were investigated on the dynamic… 
Highly Cited
2009
Highly Cited
2009
CFT exercises for the needs of AGT
An explicit check of the AGT relation between the W_N-symmetry controlled conformal blocks and U(N) Nekrasov functions requires… 
2005
2005
Thermal Equations of State of the alpha, beta, and omega Phases of Zirconium
We have conducted synchrotron x-ray diffraction studies on high purity zirconium metal at pressures (P) up to 17 GPa and… 
2004
2004
Multiple search direction conjugate gradient method I: methods and their propositions
In this article, we proposed a new CG-type method based on domain decomposition method, which is called multiple search direction… 
2004
2004
THE INFLUENCE OF FIN RIGIDITY AND GUSTS ON THE FORCE PRODUCTION IN FISHES AND INSECTS : A COMPUTATIONAL STUDY
The three-dimensional unsteady computations of fish swimming with oscillating and deforming fins of varying rigidity were carried… 
2002
2002
Visualization of MD and MC simulations for atomistic modeling
2001
2001
Polynomial hybrid Monte Carlo algorithm for lattice QCD with an odd number of flavors
We present a polynomial hybrid Monte Carlo ~PHMC! algorithm for lattice QCD with odd numbers of flavors of O(a)-improved Wilson… 
2001
2001
Growth of Pellet Imperfections and Laser Imprint in Direct Drive Inertial Confinement Fusion Targets
Simple hydrodynamic models for describing the Richtmyer–Meshkov (RM) growth and the Rayleigh–Taylor (RT) instability are tested… 
Review
1999
Review
1999
STM experiment and atomistic modelling hand in hand: individual molecules on semiconductor surfaces
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
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