activity
20202026
most citedLow-order Scaling by Pair Atomic Density Fitting

87 citations · 209 across the 14 of their papers we have counts for

collaborators

15 papers

physics.chem-ph2026

Third-order Algebraic Diagrammatic Construction Renormalized by Particle-Particle Ladders

Arno Förster

The algebraic diagrammatic construction (ADC) of the electronic self-energy is based on Moller-Plesset perturbation theory. Its vertices contain bare energy denominators that do no…

physics.chem-ph2026

Benchmark of Multi-Channel Dyson Equation and Algebraic Diagrammatic Construction Methods for molecules

Mike Keizer, Stefano Paggi, J. Arjan Berger +2

The Dyson-algebraic diagrammatic construction (ADC) and the multi-channel Dyson equation (MCDE) formalisms explicitly leverage multi-particle channels to formulate correlated theor…

physics.chem-ph2026

Approaching Coupled Cluster Accuracy with Positive Semidefinite Vertex Corrected Self-Energies

Yaroslav Pavlyukh, Fabien Bruneval, Arno Förster

Hedin's formalism of functional derivatives is the best-known method for systematically constructing correlated electronic theories, largely due to the success of its lowest-order…

physics.chem-ph2026

reduced density matrix from iterated linearized Dyson equation

Fabien Bruneval, Erik Verzijl, Arno Förster +1

Iterating the Dyson equation with the static part of the self-energy leads to a concise and possibly improved expression of the one-body reduced density matrix from any self-energy…

physics.chem-ph2026

Static Effective Hamiltonians for Molecular Systems through RPA-based Downfolding

Erik Verzijl, Arno Förster

Green's function-based downfolding methods construct effective Hamiltonians of reduced dimension that capture dynamical correlations of an electronic environment through effective…

physics.chem-ph2025

qs quasiparticle and -BSE excitation energies of 133,885 molecules

Dario Baum, Arno Förster, Lucas Visscher

Machine learning applications in the chemical sciences, especially when based on neural networks, critically depend on the availability of large quantities of high quality data. As…

physics.chem-ph2025★ 1 cited

Predicting complete basis set limit quasiparticle energies from triple- calculations

Dario Baum, Lucas Visscher, Arno Förster

We present a simple linear model to estimate the basis set incompleteness errors (BSIE) of (vertex-corrected) QP energies based on the kinetic energy of the corresponding orbi…

physics.chem-ph2025

Calculation and analysis of exciton couplings via a subsystem formulation of the -Bethe-Salpeter Equation

Sarathchandra Khandavilli, Arno Förster, Lucas Visscher

We present a fragment-based framework for analyzing exciton couplings within the -Bethe-Salpeter Equation formalism using localized molecular orbitals, and assess how excitonic…

physics.comp-ph2024

Fully dynamic G3W2 self-energy for finite systems: Formulas and benchmark

Fabien Bruneval, Arno Förster

Over the years, Hedin's self-energy has been proven to be a rather accurate and simple approximation to evaluate electronic quasiparticle energies in solids and in molecules.…

physics.chem-ph2023★ 25 cited

Two-component calculations: Cubic scaling implementation and comparison of vertex corrected and partially self-consistent variants

Arno Förster, Erik van Lenthe, Edoardo Spadetto +1

We report an all-electron, atomic orbital (AO) based, two-component (2C) implementation of the approximation (GWA) for closed-shell molecules. Our algorithm is based on the sp…

physics.chem-ph2022★ 26 cited

Towards Pair Atomic Density Fitting for Correlation Energies with Benchmark Accuracy

Edoardo Spadetto, Pier Herman Theodoor Philipsen, Arno Förster +1

Pair atomic density fitting (PADF) is a promising strategy to reduce the scaling with system size of quantum chemical methods for the calculation of the correlation energy like the…

physics.chem-ph2022★ 3 cited

Quasiparticle Self-Consistent -Bethe-Salpeter equation calculations for large chromophoric systems

Arno Förster, Lucas Visscher

The -Bethe-Salpeter Equation (BSE) method is promising for calculating the low-lying excited states of molecular systems. So far, it has only been applied to rather small molec…

physics.chem-ph2022★ 18 cited

Assessment of the second-order statically screened exchange correction to the random phase approximation for correlation energies

Arno Förster

With increasing inter-electronic distance, the screening of the electron-electron interaction by the presence of other electrons becomes the dominant source of electron correlation…

physics.chem-ph2021★ 49 cited

GW100: A Slater Type Orbital Perspective

Arno Förster, Lucas Visscher

We calculate complete basis set (CBS) limit extrapolated ionization potentials (IP) and electron affinities (EA) with Slater Type Basis sets for the molecules in the GW100 database…

physics.chem-ph2020★ 87 cited

Low-order Scaling by Pair Atomic Density Fitting

Arno Förster, Lucas Visscher

We derive a low-scaling algorithm for molecules, using pair atomic density fitting (PADF) and an imaginary time representation of the Green's function and describe its imp…