activity
20132026
most citedCP2K: An Electronic Structure and Molecular Dynamics Software Package -- Quickstep: Efficient and Accurate Electronic Structure Calculations

4.5k citations · 4.6k across the 32 of their papers we have counts for

collaborators

33 papers

quant-ph2026

From Wavefunction Regularity to Eigenvector Conditioning: Accuracy--Cost Trade-offs of Quantum Algorithms for Non-Hermitian Transcorrelated Hamiltonians

Cheng-Lin Hong, Emiel Koridon, Paul K. Faehrmann +3

The electron--electron Coulomb singularity forces cusp structure in electronic wavefunctions. This cusp structure limits wavefunction regularity and slows the convergence of expans…

cond-mat.mtrl-sci2026

Finite-temperature Fe K-edge X-ray absorption simulations reveal local structural dynamics of an iron(II) photosensitizer in solution and the crystalline phase

Patrick Müller, Lorena Fritsch, Matthias Bauer +1

Interpreting metal K-edge spectra of flexible photosensitizers requires a structural model that separates electronic signatures from thermal motion, solvent disorder, and crystal-p…

cond-mat.str-el2026

GPU-accelerated finite-temperature Lanczos method for spin Hamiltonians

Shadan Ghassemi Tabrizi, Thomas D. Kühne

We present a GPU implementation of the finite-temperature Lanczos method (FTLM) for Heisenberg spin Hamiltonians that targets workstation hardware rather than distributed-memory cl…

physics.chem-ph2026

Terahertz-induced local-field dynamics and transient birefringence in aqueous electrolytes

Naveen Kumar Kaliannan, Thomas D. Kühne, Hossam Elgabarty

Terahertz Kerr-effect (TKE) spectroscopy provides a time-domain optical probe of the intermolecular structural dynamics of liquids, but the measured birefringence can only be inter…

physics.chem-ph2026

Separable Force Matching of PBE0 Hybrid-Functional Reference Forces for Path-Integral Simulations of Liquid Water

Jan Kessler, Thomas Spura, Kristof Karhan +1

Force-matched water models provide a practical route from first-principles reference data to long classical and path-integral molecular simulations. Previous flexible four-site pot…

physics.chem-ph2026

Importance of nuclear quantum effects on the structure of supercooled water around its liquid--liquid critical point

Michael Beerbaum, Julian Heske, Jure Gujt +1

Supercooled water is expected to exhibit a liquid--liquid phase transition between low- and high-density liquid states, possibly terminating in a liquid--liquid critical point in t…

physics.comp-ph2026

Basis-free neural-network geminal and Jastrow factors for variational Monte Carlo

Jan Kessler, Thomas D. Kühne

Neural-network quantum states offer a flexible route to compact many-electron wave functions, but their practical accuracy depends strongly on how fermionic antisymmetry, electron…

physics.chem-ph2026

Reducing the Complexity of Density-Matrix Functionals in a Real-Space-Decomposed DF+RDMF Scheme with the Adaptive Cluster Approximation

Konstantin Tamoev, Robert Schade, Thomas D. Kühne

Reduced density-matrix functional theory (RDMFT) provides a variational route to electronic correlations beyond conventional density-functional approximations, but explicit evaluat…

cond-mat.mtrl-sci2026

Universal Multifractality at the Topological Anderson Insulator Transition

Ksenija Kovalenka, Ahmad Ranjbar, Sam Azadi +3

Disorder is ubiquitous in quantum materials, and its interplay with topology can generate phases absent in the clean limit. Using the Haldane model as a minimal setting, we show th…

physics.comp-ph2026

Best practices for second-generation Car-Parrinello ab initio molecular dynamics with CP2K/Quickstep

Thomas D. Kühne

Second-generation Car--Parrinello \textit{ab initio} molecular dynamics (CP2G AIMD) combines a Born--Oppenheimer-like nuclear equation of motion with a predictor-corrector propagat…

cond-mat.str-el2025★ 1 cited

Resonating valence bond pairing energy in graphene by quantum Monte Carlo

S. Azadi, A. Principi, T. D. Kühne +1

We determine the resonating-valence-bond (RVB) state in graphene using real-space quantum Monte Carlo with correlated variational wave functions. Variational and diffusion quantum…

cond-mat.mtrl-sci2025

In silico investigation of Ba-based ternary chalcogenides for photovoltaic applications

Ramya Kormath Madam Raghupathy, Hossein Mirhosseini, Thomas D. Kühne

In solar cells, the absorbers are the key components for capturing solar energy and converting photons into electron-hole pairs. The search for high-performance absorbers with adva…

cond-mat.str-el2025

Scalable implementations of mean-field and correlation methods based on Lie-algebraic similarity transformation of spin Hamiltonians in the Jordan-Wigner representation

Shadan Ghassemi Tabrizi, Thomas M. Henderson, Thomas D. Kühne +1

Recent work has highlighted that the strong correlation inherent in spin Hamiltonians can be effectively reduced by mapping spins to fermions via the Jordan-Wigner transformation (…

physics.comp-ph2025★ 1 cited

The CP2K Program Package Made Simple

Marcella Iannuzzi, Jan Wilhelm, Frederick Stein +24

CP2K is a versatile open-source software package for simulations across a wide range of atomistic systems, from isolated molecules in the gas phase to low-dimensional functional ma…

cond-mat.mtrl-sci2025

Revisiting the Abundance of Topological Materials

Hossein Mirhosseini, Luis Elcoro, Andreas Knüpfer +1

The classification of topological materials is revisited using advanced computational workflows that integrate hybrid density functional theory calculations with exact Hartree-Fock…

cond-mat.mtrl-sci2025

Elastic properties of transition metal dichalcogenides

S. Azadi, A. Azhar, R. V. Belosludov +2

We present a comprehensive first-principles study of the structural and elastic properties of 2H-MX transition metal dichalcogenides (TMDs) (M = W, Mo, Ta, Nb; X = S, Se). Usin…

physics.comp-ph2025★ 1 cited

Benchmarking semi-empirical quantum chemical methods on liquid water

Xin Wu, Hossam Elgabarty, Vahideh Alizadeh +6

Stimulated by the renewed interest and recent developments in semi-empirical quantum chemical (SQC) methods for noncovalent interactions, we examine the properties of liquid water…

cond-mat.str-el2025★ 2 cited

Simultaneous Spin and Point-Group Adaptation in Exact Diagonalization of Spin Clusters

Shadan Ghassemi Tabrizi, Thomas D. Kühne

While either spin or point-group adaptation is straightforward when considered independently, the standard technique for factoring isotropic spin Hamiltonians by the total spin S a…

cond-mat.str-el2024★ 2 cited

Projective spin adaptation for the exact diagonalization of isotropic spin clusters

Shadan Ghassemi Tabrizi, Thomas D. Kühne

Spin Hamiltonians, like the Heisenberg model, are used to describe magnetic properties of exchange-coupled molecules and solids. For finite clusters, physical quantities such as he…

cond-mat.str-el2024★ 2 cited

Analytical solutions of symmetric isotropic spin clusters

Shadan Ghassemi Tabrizi, Thomas D. Kühne

Spin models like the Heisenberg Hamiltonian effectively describe the interactions of open-shell transition-metal ions on a lattice and can account for various properties of magneti…

cond-mat.soft2023

On the transport of CO through humidified facilitated transport membranes

M. Logemann, J. Gujt, T. Harhues +2

Membrane-based CO removal from exhaust streams has recently gained much attention as a means of reducing emissions and limiting climate change. Novel membranes for CO remov…

cond-mat.soft2023★ 1 cited

PECVD and PEALD on polymer substrates (Part II): Understanding and tuning of barrier and membrane properties of thin films

Teresa de los Arcos, Peter Awakowicz, Marc Böke +19

This feature article presents insights concerning the correlation of PECVD and PEALD thin film structures with their barrier or membrane properties. While in principle similar prec…

physics.chem-ph2023

Ultrafast two-colour X-ray emission spectroscopy reveals excited state landscape in a base metal dyad

Michal Nowakowski, Marina Huber-Gedert, Hossam Elgabarty +15

Effective photoinduced charge transfer makes molecular bimetallic assemblies attractive for applications as active light induced proton reduction systems. For a more sustainable fu…

cond-mat.mtrl-sci2021

An automated approach for developing neural network interatomic potentials with FLAME

Hossein Mirhosseini, Hossein Tahmasbi, Sai Ram Kuchana +2

The performance of machine learning interatomic potentials relies on the quality of the training dataset. In this work, we present an approach for generating diverse and representa…