Improved stability of water clusters (H2O)30–48: a Monte Carlo search coupled with DFT computations

Highlights in Theoretical Chemistry - Eluvathingal D. Jemmis ◽

10.1007/978-3-642-31750-7_7 ◽

2012 ◽

pp. 75-81

Author(s):

Fengyu Li ◽

Yuan Liu ◽

Lu Wang ◽

Jijun Zhao ◽

Zhongfang Chen

Keyword(s):

Monte Carlo ◽

Water Clusters ◽

Dft Computations ◽

Improved Stability ◽

Monte Carlo Search ◽

Stability Of Water

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Improved stability of water clusters (H2O)30–48: a Monte Carlo search coupled with DFT computations

Theoretical Chemistry Accounts ◽

10.1007/s00214-012-1163-5 ◽

2012 ◽

Vol 131 (3) ◽

Author(s):

Fengyu Li ◽

Yuan Liu ◽

Lu Wang ◽

Jijun Zhao ◽

Zhongfang Chen

Keyword(s):

Monte Carlo ◽

Water Clusters ◽

Dft Computations ◽

Improved Stability ◽

Monte Carlo Search ◽

Stability Of Water

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Generating structured test data with specific properties using nested Monte-Carlo search

Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14 ◽

10.1145/2576768.2598339 ◽

2014 ◽

Author(s):

Simon Poulding ◽

Robert Feldt

Keyword(s):

Monte Carlo ◽

Test Data ◽

Monte Carlo Search ◽

Structured Test

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Monte Carlo Temperature Basin Paving with Effective Fragment Potential: An Efficient and Fast Method for Finding Low-Energy Structures of Water Clusters (H2O)20and (H2O)25

The Journal of Physical Chemistry A ◽

10.1021/jp2073864 ◽

2011 ◽

Vol 115 (42) ◽

pp. 11866-11875 ◽

Author(s):

Sudhanshu Shanker ◽

Pradipta Bandyopadhyay

Keyword(s):

Monte Carlo ◽

Water Clusters ◽

Fast Method ◽

Effective Fragment Potential

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Existence ofΛΛ4H: A variational Monte Carlo search

Physical Review C ◽

10.1103/physrevc.71.024004 ◽

2005 ◽

Vol 71 (2) ◽

Author(s):

Mohammad Shoeb

Keyword(s):

Monte Carlo ◽

Variational Monte Carlo ◽

Monte Carlo Search

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Algorithm Discovery with Monte-Carlo Search: Controlling the Size

2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI) ◽

10.1109/ictai.2017.00067 ◽

2017 ◽

Author(s):

Josef Moudrik ◽

Tomas Kren ◽

Roman Neruda

Keyword(s):

Monte Carlo ◽

Monte Carlo Search

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Correction to “An Efficient Approach for Studies of Water Clusters Using Diffusion Monte Carlo”

The Journal of Physical Chemistry A ◽

10.1021/acs.jpca.9b09440 ◽

2019 ◽

Vol 123 (43) ◽

pp. 9429-9429

Author(s):

Victor G. M. Lee ◽

Anne B. McCoy

Keyword(s):

Monte Carlo ◽

Water Clusters ◽

Diffusion Monte Carlo ◽

Efficient Approach

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Monte Carlo simulations of small water clusters: microcanonical vs canonical ensemble

Chemical Physics Letters ◽

10.1016/s0009-2614(02)00981-8 ◽

2002 ◽

Vol 361 (3-4) ◽

pp. 291-297 ◽

Author(s):

M.A. Carignano

Keyword(s):

Monte Carlo ◽

Monte Carlo Simulations ◽

Canonical Ensemble ◽

Water Clusters ◽

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Parallel Monte Carlo Search for Hough Transform

Journal of Physics Conference Series ◽

10.1088/1742-6596/898/7/072052 ◽

2017 ◽

Vol 898 ◽

pp. 072052

Author(s):

Raul H. C. Lopes ◽

Virginia N.L. Franqueira ◽

Ivan D. Reid ◽

Peter R. Hobson

Keyword(s):

Monte Carlo ◽

Hough Transform ◽

Monte Carlo Search

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Parallel-hat tempering: A Monte Carlo search scheme for the identification of low-energy structures

The Journal of Chemical Physics ◽

10.1063/1.1396672 ◽

2001 ◽

Vol 115 (11) ◽

pp. 5027-5032 ◽

Author(s):

Yang Zhang ◽

Jeffrey Skolnick

Keyword(s):

Monte Carlo ◽

Monte Carlo Search

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Is the Monte Carlo search method efficient for a paleostress analysis of natural heterogeneous fault-slip data? An example from the Kraishte area, SW Bulgaria

Journal of Structural Geology ◽

10.1016/j.jsg.2018.08.008 ◽

2018 ◽

Vol 116 ◽

pp. 178-188 ◽

Author(s):

Markos D. Tranos

Keyword(s):

Monte Carlo ◽

Search Method ◽

Monte Carlo Search ◽

Paleostress Analysis

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