Erratum: Short-range screening potentials for classical Coulomb fluids: Monte Carlo sampling and cluster model studies

Physical Review E ◽

10.1103/physreve.51.3788 ◽

1995 ◽

Vol 51 (4) ◽

pp. 3788-3788 ◽

Author(s):

Setsuo Ichimaru ◽

Shuji Ogata ◽

Kenji Tsuruta

Keyword(s):

Monte Carlo ◽

Cluster Model ◽

Short Range ◽

Monte Carlo Sampling ◽

Model Studies ◽

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Short-range screening potentials for classical Coulomb fluids: Reanalysis of Monte Carlo sampling and cluster model studies

Physical Review E ◽

10.1103/physreve.53.2000 ◽

1996 ◽

Vol 53 (2) ◽

pp. 2000-2007 ◽

Author(s):

Yaakov Rosenfeld

Keyword(s):

Monte Carlo ◽

Cluster Model ◽

Short Range ◽

Monte Carlo Sampling ◽

Model Studies ◽

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Short-range screening potentials for classical Coulomb fluids: Monte Carlo sampling and cluster model studies

Physical Review E ◽

10.1103/physreve.50.2977 ◽

1994 ◽

Vol 50 (4) ◽

pp. 2977-2985 ◽

Author(s):

Setsuo Ichimaru ◽

Shuji Ogata ◽

Kenji Tsuruta

Keyword(s):

Monte Carlo ◽

Cluster Model ◽

Short Range ◽

Monte Carlo Sampling ◽

Model Studies ◽

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Reply to ‘‘Short-range screening potentials for classical Coulomb fluids: Reanalysis of Monte Carlo sampling and cluster model studies’’

Physical Review E ◽

10.1103/physreve.53.2008 ◽

1996 ◽

Vol 53 (2) ◽

pp. 2008-2010

Author(s):

Setsuo Ichimaru ◽

Shuji Ogata

Keyword(s):

Monte Carlo ◽

Cluster Model ◽

Short Range ◽

Monte Carlo Sampling ◽

Model Studies ◽

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Direct Monte Carlo sampling of the short-range screening potentials for classical Coulomb liquids

Physical Review E ◽

10.1103/physreve.53.1094 ◽

1996 ◽

Vol 53 (1) ◽

pp. 1094-1099 ◽

Author(s):

Shuji Ogata

Keyword(s):

Monte Carlo ◽

Short Range ◽

Monte Carlo Sampling

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Bayesian inference, Monte Carlo sampling and operational risk

The Journal of Operational Risk ◽

10.21314/jop.2006.014 ◽

2006 ◽

Vol 1 (3) ◽

pp. 27-50 ◽

Author(s):

G Peters ◽

S Sisson

Keyword(s):

Monte Carlo ◽

Bayesian Inference ◽

Operational Risk ◽

Monte Carlo Sampling

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A Monte Carlo Sampling Method of Amino Acid Sequences Adaptable to Given Main-Chain Atoms in the Proteins

The Journal of Biochemistry ◽

10.1093/jb/mvj184 ◽

2006 ◽

Vol 140 (4) ◽

pp. 543-552

Author(s):

Koji Ogata ◽

Kenji Soejima ◽

Junichi Higo

Keyword(s):

Monte Carlo ◽

Sampling Method ◽

Monte Carlo Sampling ◽

Amino Acid Sequences

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Probabilistic Optimal Power Flow With Correlated Wind Power Uncertainty via Markov Chain Quasi-Monte-Carlo Sampling

IEEE Transactions on Industrial Informatics ◽

10.1109/tii.2019.2928054 ◽

2019 ◽

Vol 15 (11) ◽

pp. 6058-6069 ◽

Author(s):

Weigao Sun ◽

Mohsen Zamani ◽

Hai-Tao Zhang ◽

Yuanzheng Li

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Optimal Power Flow ◽

Monte Carlo Sampling ◽

Quasi Monte Carlo ◽

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Monte Carlo sampling of solutions to inverse problems

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts ◽

10.1016/0148-9062(96)80050-7 ◽

1996 ◽

Vol 33 (5) ◽

pp. A219

Keyword(s):

Monte Carlo ◽

Inverse Problems ◽

Monte Carlo Sampling

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Locating stationary paths in functional integrals: An optimization method utilizing the stationary phase Monte Carlo sampling function

The Journal of Chemical Physics ◽

10.1063/1.455868 ◽

1989 ◽

Vol 90 (6) ◽

pp. 3181-3191 ◽

Author(s):

Thomas L. Beck ◽

J. D. Doll ◽

David L. Freeman

Keyword(s):

Monte Carlo ◽

Stationary Phase ◽

Optimization Method ◽

Monte Carlo Sampling ◽

Functional Integrals ◽

Sampling Function

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A phase‐space theory and Monte Carlo sampling method for studying nonadiabatic unimolecular reactions

The Journal of Chemical Physics ◽

10.1063/1.462092 ◽

1992 ◽

Vol 96 (3) ◽

pp. 1911-1918 ◽

Author(s):

Alison J. Marks ◽

Donald L. Thompson

Keyword(s):

Monte Carlo ◽

Phase Space ◽

Sampling Method ◽

Monte Carlo Sampling ◽

Space Theory ◽

Unimolecular Reactions ◽

Phase Space Theory

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