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We present PROFESS (PRinceton Orbital-Free Electronic Structure Software), a new software package that performs orbital-free density functional theory (OF-DFT) calculations. OF-DFT is a first principles quantum mechanics method primarily for condensed matter that can be made to scale linearly with system size. We describe the implementation of energy, force, and stress functionals and the methods used to optimize the electron density under periodic boundary conditions. All electronic energy and potential terms scale linearly while terms involving the ions exhibit quadratic scaling in our code. Despite the latter scaling, the program can treat tens of thousands of atoms with quantum mechanics on a single processor, as we demonstrate here. Limitations of the method are also outlined, the most serious of which is the accuracy of state-of-the-art kinetic energy functionals, which limits the applicability of the method to main group elements at present. Program summary: Program title: PROFESS Catalogue identifier: AEBN_v1_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEBN_v1_0.html Program obtainable from: CPC Program Library, Queen''s University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 35 933 No. of bytes in distributed program, including test data, etc.: 329 924 Distribution format: tar.gz Programming language: Fortran 90 Computer: Intel with ifort; AMD Opteron with pathf90 Operating system: Linux RAM: Problem dependent, but 2 GB is sufficient for up to 10,000 ions Classification: 7.3 External routines: FFTW (http://www.fftw.org), MINPACK-2 Nature of problem: Given a set of coordinates describing the initial ion positions under periodic boundary conditions, recovers the ground state energy, electron density, ion positions, and cell lattice vectors predicted by orbital-free density functional theory. Except for computation of the ion–ion and ion–electron terms, all other terms are effectively linear scaling. Up to ∼10,000 ions may be included in the calculation on just a single processor. Solution method: Computes energies as described in text; minimizes this energy with respect to the electron density, ion positions, and cell lattice vectors. Restrictions: PROFESS cannot use nonlocal (such as ultrasoft) pseudopotentials. Local pseudopotential files for aluminum, magnesium, silver, and silicon are available upon request. Also, due to the current state of the kinetic energy functionals, PROFESS is only reliable for main group metals and some properties of semiconductors. Running time: Problem dependent: the test example provided with the code takes less than a second to run. Timing results for large scale problems are given in the paper. References: [1] Y.A. Wang, N. Govind, E.A. Carter, Phys. Rev. B 58 (1998) 13465; Y.A. Wang, N. Govind, E.A. Carter, Phys. Rev. B 64 (2001) 129901 (erratum). [2] S.C. Watson, E.A. Carter, Comput. Phys. Comm. 128 (2000) 67. [Copyright &y& Elsevier]

Abstract: Orbital-free density functional theory (OFDFT) is a first principles quantum mechanics method to find the ground-state energy of a system by variationally minimizing with respect to the electron density. No orbitals are used in the evaluation of the kinetic energy (unlike Kohn–Sham DFT), and the method scales nearly linearly with the size of the system. The PRinceton Orbital-Free Electronic Structure Software (PROFESS) uses OFDFT to model materials from the atomic scale to the mesoscale. This new version of PROFESS allows the study of larger systems with two significant changes: PROFESS is now parallelized, and the ion–electron and ion–ion terms scale quasilinearly, instead of quadratically as in PROFESS v1 (L. Hung and E.A. Carter, Chem. Phys. Lett. 475 (2009) 163). At the start of a run, PROFESS reads the various input files that describe the geometry of the system (ion positions and cell dimensions), the type of elements (defined by electron–ion pseudopotentials), the actions you want it to perform (minimize with respect to electron density and/or ion positions and/or cell lattice vectors), and the various options for the computation (such as which functionals you want it to use). Based on these inputs, PROFESS sets up a computation and performs the appropriate optimizations. Energies, forces, stresses, material geometries, and electron density configurations are some of the values that can be output throughout the optimization. New version program summary: Program Title: PROFESS Catalogue identifier: AEBN_v2_0 Program summary URL: http://cpc.cs.qub.ac.uk/summaries/AEBN_v2_0.html Program obtainable from: CPC Program Library, Queen''s University, Belfast, N. Ireland Licensing provisions: Standard CPC licence, http://cpc.cs.qub.ac.uk/licence/licence.html No. of lines in distributed program, including test data, etc.: 68 721 No. of bytes in distributed program, including test data, etc.: 1 708 547 Distribution format: tar.gz Programming language: Fortran 90 Computer: Intel with ifort; AMD Opteron with pathf90 Operating system: Linux Has the code been vectorized or parallelized?: Yes. Parallelization is implemented through domain composition using MPI. RAM: Problem dependent, but 2 GB is sufficient for up to 10,000 ions. Classification: 7.3 External routines: FFTW 2.1.5 (http://www.fftw.org) Catalogue identifier of previous version: AEBN_v1_0 Journal reference of previous version: Comput. Phys. Comm. 179 (2008) 839 Does the new version supersede the previous version?: Yes Nature of problem: Given a set of coordinates describing the initial ion positions under periodic boundary conditions, recovers the ground state energy, electron density, ion positions, and cell lattice vectors predicted by orbital-free density functional theory. The computation of all terms is effectively linear scaling. Parallelization is implemented through domain decomposition, and up to ∼10,000 ions may be included in the calculation on just a single processor, limited by RAM. For example, when optimizing the geometry of ∼50,000 aluminum ions (plus vacuum) on 48 cores, a single iteration of conjugate gradient ion geometry optimization takes ∼40 minutes wall time. However, each CG geometry step requires two or more electron density optimizations, so step times will vary. Solution method: Computes energies as described in text; minimizes this energy with respect to the electron density, ion positions, and cell lattice vectors. Reasons for new version: To allow much larger systems to be simulated using PROFESS. Summary of revisions: [•] PROFESS can run in parallel [1]. Parallelization is implemented through domain decomposition using MPI. (However, copies of all ion positions, which take up a relatively small amount of memory, are saved on all processors.) An updated serial version of PROFESS, with some memory-efficient features specific to the use of a single process, can also be compiled from the same code. [•] Instead of linking to the FFTW3 library, we use FFTW 2.1.5, which is the most recent version of FFTW that supports MPI parallel transforms. [•] Ion–ion and ion–electron calculations can scale as through the use of cardinal B-splines [1–3]. (For ion–ion calculations, this is known as particle-mesh Ewald.) [•] The line search during electron density optimization (when using the square root of electron density as the variational parameter) automatically conserves the total number of electrons in the system, using a similar line search mixing scheme as in Ref. [4]. [•] The square root density CG and TN optimizations are generally more stable. [•] Conjugate gradient ion optimization is improved and stable. [•] Positions of chosen ions can be held fixed during geometry optimization. [•] Variable time steps are used during cell lattice optimization instead of fixed steps. [•] The CAT kinetic energy density functional [5] is available. [•] A cutoff to avoid divergence in vacuum regions is now an option for some kinetic energy and exchange–correlation functionals (keywords WTV, WGV, CAV, PBEC) [6]. [•] The PBE exchange–correlation subroutine is more stable. [•] Calculations of energy and potential for some functionals are more efficient after removing duplicate computations. (Note: CAT, LQ, and HQ functionals have not yet been consolidated.) [•] Density and potential output files have a new format that is more convenient for output from multiple processes. A utility to convert between old and new density formats, as well as Tecplot format, is provided in RhoConvert.f90. [•] The interpolation scheme used when reading in pseudopotentials is more accurate. [•] WGC kernel integration uses the Runge–Kutta method for better accuracy. Restrictions: PROFESS cannot use nonlocal (such as ultrasoft) pseudopotentials. A variety of local pseudopotential files are available at the Carter group website (http://www.princeton.edu/mae/people/faculty/carter/homepage/research/localpseudopotentials/). Also, due to the current state of the kinetic energy functionals, PROFESS is only reliable for main group metals and some properties of semiconductors. Running time: Problem dependent: the test example provided with the code takes less than a second to run. Timing results for large scale problems are given in the PROFESS paper and Ref. [1]. References: [[1]] L. Hung, E.A. Carter, Chem. Phys. Lett. 475 (2009) 163. [[2]] U. Essmann, L. Perera, M. Berkowitz, T. Darden, L. Hsing, L.G. Pedersen, J. Chem. Phys. 103 (1995) 8577. [[3]] N. Choly, E. Kaxiras, Phys. Rev. B 67 (2003) 155101. [[4]] H. Jiang, W. Yang, J. Chem. Phys. 121 (2004) 2030. [[5]] D. Garcìa-Aldea, J.E. Alvarellos, Phys. Rev. A 76 (2007) 052504. [[6]] I. Shin, A. Ramasubramaniam, C. Huang, L. Hung, E.A. Carter, Philos. Mag. 89 (2009) 3195. [Copyright &y& Elsevier]