Large-scale linear system solver using secondary storage: Self-energy in hybrid nanostructures
datasetposted on 06.12.2019 by J.M. Badia, J.L. Movilla, J.I. Climente, M. Castillo, M. Marqués, R. Mayo, E.S. Quintana-Ortí, J. Planelles
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Abstract We present a Fortran library which can be used to solve large-scale dense linear systems, A x = b . The library is based on the LU decomposition included in the parallel linear algebra library PLAPACK and on its out-of-core extension POOCLAPACK. The library is complemented with a code which calculates the self-polarization charges and self-energy potential of axially symmetric nanostructures, following an induced charge computation method. Illustrative calculations are provided for hybrid sem... Title of program: HDSS - (Huge Dense System Solver) Catalogue Id: AEHU_v1_0 Nature of problem Huge scale dense systems of linear equations, Ax = B, beyond standard LAPACK capabilities. Application to calculations of self-energy potential in dielectrically mismatched semiconductor quantum dots. Versions of this program held in the CPC repository in Mendeley Data AEHU_v1_0; HDSS - (Huge Dense System Solver); 10.1016/j.cpc.2010.10.021 AEHU_v1_1; Huge Dense System Solver (HDSS); 10.1016/j.cpc.2011.06.010 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)