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PAREMD: A parallel program for the evaluation of momentum space properties of atoms and molecules

位置和动量空间 空格(标点符号) 动量(技术分析) 分子 物理 计算机科学 统计物理学 计算化学 核物理学 理论物理学 量子力学 化学 财务 操作系统 经济
作者
Deep Raj Meena,Shridhar R. Gadre,P. Balanarayan
出处
期刊:Computer Physics Communications [Elsevier]
卷期号:224: 299-310 被引量:18
标识
DOI:10.1016/j.cpc.2017.12.002
摘要

The present work describes a code for evaluating the electron momentum density (EMD), its moments and the associated Shannon information entropy for a multi-electron molecular system. The code works specifically for electronic wave functions obtained from traditional electronic structure packages such as GAMESS and GAUSSIAN. For the momentum space orbitals, the general expression for Gaussian basis sets in position space is analytically Fourier transformed to momentum space Gaussian basis functions. The molecular orbital coefficients of the wave function are taken as an input from the output file of the electronic structure calculation. The analytic expressions of EMD are evaluated over a fine grid and the accuracy of the code is verified by a normalization check and a numerical kinetic energy evaluation which is compared with the analytic kinetic energy given by the electronic structure package. Apart from electron momentum density, electron density in position space has also been integrated into this package. The program is written in C++ and is executed through a Shell script. It is also tuned for multicore machines with shared memory through OpenMP. The program has been tested for a variety of molecules and correlated methods such as CISD, Møller–Plesset second order (MP2) theory and density functional methods. For correlated methods, the PAREMD program uses natural spin orbitals as an input. The program has been benchmarked for a variety of Gaussian basis sets for different molecules showing a linear speedup on a parallel architecture. Program Title: PAREMD Program Files doi: http://dx.doi.org/10.17632/gcr9gmh6zv.1 Licensing provisions: GPLv3 Programming language: C, Csh External routines/libraries: GSL[1], BLAS[2,3], OpenMP[4], GAMESS[5,6] and GAUSSIAN[7]. Nature of problem: Momentum space properties for a multi-electron system. Solution method: Analytic Fourier transformation of Gaussian basis in position space to get momentum space basis followed by EMD evaluation on spherical or Cartesian grids. A numerical integration procedure is implemented for evaluating moments of EMD and Shannon information entropy on a polar grid. [1] Galassi et al, GNU Scientific Library Reference Manual (3rd Ed.), ISBN 0954612078. [2] L. S. Blackford, J. Demmel, J. Dongarra, I. Duff, S. Hammarling, G. Henry, M. Heroux, L. Kaufman, A. Lumsdaine, A. Petitet, R. Pozo, K. Remington, R. C. Whaley, An Updated Set of Basic Linear Algebra Subprograms (BLAS), ACM Trans. Math. Soft., 28-2 (2002), pp. 135–151. [3] J. Dongarra, Basic Linear Algebra Subprograms Technical Forum Standard, International Journal of High Performance Applications and Supercomputing, 16(1) (2002), pp. 1–111, and International Journal of High Performance Applications and Supercomputing, 16(2) (2002), pp. 115–199. [4] OpenMP Architecture Review Board, ”OpenMP Application Program Interface, Version 4.5”, November 2015. [5] ”General Atomic and Molecular Electronic Structure System” M.W. Schmidt, K.K. Baldridge, J.A. Boatz, S.T. Elbert, M.S. Gordon, J.H. Jensen, S. Koseki, N. Matsunaga, K.A. Nguyen, S.J. Su, T.L. Windus, M. Dupuis, J.A. MontgomeryJ. Comput. Chem. 14 1347–1363, 1993. [6] “Advances in electronic structure theory: GAMESS a decade later M.S. Gordon, M.W. Schmidt pp. 1167–1189, in Theory and Applications of Computational Chemistry: the first forty years C.E. Dykstra, G. Frenking, K.S. Kim, G.E. Scuseria (editors), Elsevier, Amsterdam, 2005. [7] Gaussian 09, Revision C.01, M. J. Frisch, G. W. Trucks, H. B. Schlegel, G. E. Scuseria, M. A. Robb, J. R. Cheeseman, G. Scalmani, V. Barone, G. A. Petersson, H. Nakatsuji, X. Li, M. Caricato, A. Marenich, J. Bloino, B. G. Janesko, R. Gomperts, B. Mennucci, H. P. Hratchian, J. V. Ortiz, A. F. Izmaylov, J. L. Sonnenberg, D. Williams-Young, F. Ding, F. Lipparini, F. Egidi, J. Goings, B. Peng, A. Petrone, T. Henderson, D. Ranasinghe, V. G. Zakrzewski, J. Gao, N. Rega, G. Zheng, W. Liang, M. Hada, M. Ehara, K. Toyota, R. Fukuda, J. Hasegawa, M. Ishida, T. Nakajima, Y. Honda, O. Kitao, H. Nakai, T. Vreven, K. Throssell, J. A. Montgomery, Jr., J. E. Peralta, F. Ogliaro, M. Bearpark, J. J. Heyd, E. Brothers, K. N. Kudin, V. N. Staroverov, T. Keith, R. Kobayashi, J. Normand, K. Raghavachari, A. Rendell, J. C. Burant, S. S. Iyengar, J. Tomasi, M. Cossi, J. M. Millam, M. Klene, C. Adamo, R. Cammi, J. W. Ochterski, R. L. Martin, K. Morokuma, O. Farkas, J. B. Foresman, and D. J. Fox, Gaussian, Inc., Wallingford CT, 2016.
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