Abstract
A new sampling method is proposed for projector Monte Carlo (PMC) calculations based on Slater determinants (SD) in singlet states. Using the symmetry of the α and β electron determinants, the number of configurations to be considered can be about one-half of the original sampling. We applied the new sampling to the PMC-SD calculations of the H2O molecule in the ground state. The results were always improved by the new sampling method both for the equilibrium and for bond-stretched structures.
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Hammond BL, Lester WA Jr, Reynolds PJ (1994) Monte Carlo methods in ab initio quantum chemistry, World Scientific lecture and course notes in chemistry, vol 1. World Scientific, Singapore
Anderson JB (2007) Quantum Monte Carlo origins, development, applications. Oxford University Press, Oxford
Foulkes WMC, Mitas L, Needs RJ, Rajagopal G (2001) Rev Mod Phys 73:33
Aspuru-Guzik A, Salomón-Ferrer R, Austin B, Perusquía-Flores R, Griffin MA, Oliva RA, Skinner D, Domin D, Lester WA Jr (2005) J Comput Chem 26:856
Needs RJ, Towler MD, Drummond ND, López-Ríos P (2006) CASINO ver. 2.0.0 user manual. University of Cambridge, Cambridge
Anderson JB (1976) J Chem Phys 65:4121
Moskowitz JW, Schmidt KE, Lee MA, Kalos MH (1982) J Chem Phys 77:349
Reynolds PJ, Ceperley DM, Alder BJ, Lester WA Jr (1982) J Chem Phys 77:5593
Umrigar CJ, Toulouse J, Filippi C, Sorella S, Hennig RG (2007) Phys Rev Lett 98:110201
Ohtsuka Y, Nagase S (2008) Chem Phys Lett 463:431
Ohtsuka Y, Nagase S (2010) Chem Phys Lett 485:367
Booth GH, Thom AJW, Alavi A (2009) J Chem Phys 131:054106
Cleland D, Booth GH, Alavi A (2010) J Chem Phys 132:041103
Schmidt MW, Baldridge KK, Boatz JA, Elbert ST, Gordon MS, Jensen JH, Koseki S, Matsunaga N, Nguyen KA, Su S, Windus TL, Dupuis M, Montgomery JA (1993) J Comput Chem 14:1347
Gordon MS, Schmidt MW (2005) In: Dykstra CE, Frenking G, Kim KS, Scuseria GE (eds) Theory and applications of computational chemistry: the first forty years. Elsevier, Amsterdam, pp 1167–1189
Matsumoto M, Nishimura T (1998) Mersenne Twister: A 623-dimensionally equidistributed uniform pseudorandom number generator. ACM Trans Model and Comp Simul 8(1):3–30
Saito M, Matsumoto M (2008) SIMD-oriented fast mersenne twister: a 128-bit pseudorandom number generator, Monte Carlo and Quasi-Monte Carlo methods 2006. Springer, pp 607–622
Olsen J, Jørgensen P, Koch H, Balkova A, Bartlett RJ (1996) J Chem Phys 104:8007
Dunning TH Jr (1989) J Chem Phys 90:1007
Acknowledgments
This work was supported by a Grant-in-Aid for the Next Generation Super Computing Project (Nanoscience Program), specially Promoted Research, and Young Scientists (B) from MEXT of Japan. Some calculations were performed at the Research Center for Computational Science, Okazaki, Japan.
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Dedicated to Professor Shigeru Nagase on the occasion of his 65th birthday and published as part of the Nagase Festschrift Issue.
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Ohtsuka, Y., Nagase, S. Projector Monte Carlo method based on Slater determinants: a new sampling method for singlet state calculations. Theor Chem Acc 130, 501–505 (2011). https://doi.org/10.1007/s00214-011-1030-9
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DOI: https://doi.org/10.1007/s00214-011-1030-9