33 research outputs found
A quantum embedding theory in the screened Coulomb interaction: Combining configuration interaction with GW/BSE
We present a new quantum embedding theory called dynamical configuration
interaction (DCI) that combines wave function and Green's function theories.
DCI captures static correlation in a correlated subspace with configuration
interaction and couples to high-energy, dynamic correlation outside the
subspace with many-body perturbation theory based on Green's functions. In the
correlated subspace, we use a wave function description to avoid embedding the
two-particle vertex, which greatly simplifies the frequency structure of the
embedding. DCI takes the strengths of both theories to balance static and
dynamic correlation in a single, fully ab-initio embedding concept. We show
that treating high-energy correlation up to the and Bethe-Salpeter
equation level is sufficient even for challenging multi-reference problems. Our
theory treats ground and excited states on equal footing, and we compute the
dissociation curve of N, vertical excitation energies of N and C,
and the ionization spectrum of benzene in excellent agreement with high level
quantum chemistry methods and experiment
Fast evaluation of solid harmonic Gaussian integrals for local resolution-of-the-identity methods and range-separated hybrid functionals
An integral scheme for the efficient evaluation of two-center integrals over
contracted solid harmonic Gaussian functions is presented. Integral expressions
are derived for local operators that depend on the position vector of one of
the two Gaussian centers. These expressions are then used to derive the formula
for three-index overlap integrals where two of the three Gaussians are located
at the same center. The efficient evaluation of the latter is essential for
local resolution-of-the-identity techniques that employ an overlap metric. We
compare the performance of our integral scheme to the widely used Cartesian
Gaussian-based method of Obara and Saika (OS). Non-local interaction potentials
such as standard Coulomb, modified Coulomb and Gaussian-type operators, that
occur in range-separated hybrid functionals, are also included in the
performance tests. The speed-up with respect to the OS scheme is up to three
orders of magnitude for both, integrals and their derivatives. In particular,
our method is increasingly efficient for large angular momenta and highly
contracted basis sets.Comment: 18 pages, 2 figures; accepted manuscript. v2: supplementary material
include
Accelerating core-level calculations by combining the contour deformation approach with the analytic continuation of
In recent years, the method has emerged as a reliable tool for computing
core-level binding energies. The contour deformation (CD) technique has been
established as an efficient, scalable, and numerically stable approach to
compute the self-energy for deep core excitations. However, core-level
calculations with CD face the challenge of higher scaling with respect to
system size compared to the conventional quartic scaling in valence state
algorithms. In this work, we present the CD-WAC method (CD with Analytic
Continuation), which reduces the scaling of CD applied to the inner shells from
to by employing an analytic continuation of the screened
Coulomb interaction . Our proposed method retains the numerical accuracy of
CD for the computationally challenging deep core case, yielding mean absolute
errors meV for well-established benchmark sets, such as CORE65, for
single-shot calculations. More extensive testing for different
flavors prove the reliability of the method. We have confirmed the theoretical
scaling by performing scaling experiments on large acene chains and amorphous
carbon clusters, achieving speedups of up to 10x for structures of only 116
atoms. This improvement in computational efficiency paves the way for more
accurate and efficient core-level calculations on larger and more complex
systems
Accurate computational prediction of core-electron binding energies in carbon-based materials: A machine-learning model combining density-functional theory and
We present a quantitatively accurate machine-learning (ML) model for the
computational prediction of core-electron binding energies, from which x-ray
photoelectron spectroscopy (XPS) spectra can be readily obtained. Our model
combines density functional theory (DFT) with and uses kernel ridge
regression for the ML predictions. We apply the new approach to materials and
molecules containing carbon, hydrogen and oxygen, and obtain qualitative and
quantitative agreement with experiment, resolving spectral features within 0.1
eV of reference experimental spectra. The method only requires the user to
provide a structural model for the material under study to obtain an XPS
prediction within seconds. Our new tool is freely available online through the
XPS Prediction Server
Highly conducting single-molecule topological insulators based on mono- and di-radical cations
Single-molecule topological insulators are promising candidates as conducting wires over nanometre length scales. A key advantage is their ability to exhibit quasi-metallic transport, in contrast to conjugated molecular wires which typically exhibit a low conductance that decays as the wire length increases. Here, we study a family of oligophenylene-bridged bis(triarylamines) with tunable and stable mono- or di-radicaloid character. These wires can undergo one- and two-electron chemical oxidations to the corresponding mono-cation and di-cation, respectively. We show that the oxidized wires exhibit reversed conductance decay with increasing length, consistent with the expectation for Su–Schrieffer–Heeger-type one-dimensional topological insulators. The 2.6-nm-long di-cation reported here displays a conductance greater than 0.1G0, where G0 is the conductance quantum, a factor of 5,400 greater than the neutral form. The observed conductance–length relationship is similar between the mono-cation and di-cation series. Density functional theory calculations elucidate how the frontier orbitals and delocalization of radicals facilitate the observed non-classical quasi-metallic behaviour
CP2K: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations
CP2K is an open source electronic structure and molecular dynamics software package to perform atomistic simulations of solid-state, liquid, molecular, and biological systems. It is especially aimed at massively parallel and linear-scaling electronic structure methods and state-of-the-art ab initio molecular dynamics simulations. Excellent performance for electronic structure calculations is achieved using novel algorithms implemented for modern high-performance computing systems. This review revisits the main capabilities of CP2K to perform efficient and accurate electronic structure simulations. The emphasis is put on density functional theory and multiple post–Hartree–Fock methods using the Gaussian and plane wave approach and its augmented all-electron extension
Accurate Absolute and Relative Core-Level Binding Energies from GW
We present an accurate approach to compute X-ray photoelectron spectra based on the GW Green's function method that overcomes the shortcomings of common density functional theory approaches. GW has become a popular tool to compute valence excitations for a wide range of materials. However, core-level spectroscopy is thus far almost uncharted in GW. We show that single-shot perturbation calculations in the G0W0 approximation, which are routinely used for valence states, cannot be applied for core levels and suffer from an extreme, erroneous transfer of spectral weight to the satellite spectrum. The correct behavior can be restored by partial self-consistent GW schemes or by using hybrid functionals with almost 50% of exact exchange as a starting point for G0W0. We also include relativistic corrections and present a benchmark study for 65 molecular 1s excitations. Our absolute and relative GW core-level binding energies agree within 0.3 and 0.2 eV with experiment, respectively.Peer reviewe