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20242026
most citedA general framework for active space embedding methods: applications in quantum computing

13 citations · 15 across the 6 of their papers we have counts for

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4 papers · 1 filter

cond-mat.mtrl-sci2026

Native implementation of the machine-learned Skala exchange-correlation functional in CP2K: Unified one-centre reconstruction for molecular and condensed-phase calculations

Johann Pototschnig, Franz Pöschel, Jürg Hutter +1

We implement the machine-learned Skala exchange-correlation (XC) functional natively in CP2K using its Gaussian and plane-wave (GPW) and Gaussian and augmented-plane-wave (GAPW) me…

physics.chem-ph2026

Molecular Implementation of the Machine-Learned Skala Exchange-Correlation Functional in CP2K through GauXC

Franz Pöschel, Johann Pototschnig, Frederick Stein +6

Machine-learned exchange--correlation (XC) functionals offer a route to improve Kohn--Sham density-functional theory without incurring the cost of explicitly correlated electronic-…

physics.chem-ph2026

CP2K: An electronic structure and molecular dynamics software package - Dynamics, Transport, and Spectroscopic Response

Jan Wilhelm, Anna-Sophia Hehn, Hossam Elgabarty +39

One of the distinguishing aspects of CP2K is its seamless integration of diverse structural and transition-state optimization techniques with advanced sampling approaches including…

physics.chem-ph2026

The UZH protocol: Separating errors and constructing improved CP2K basis sets and pseudopotentials

Hossein Mirhosseini, Tiziano M. A. Müller, Matthias Krack +2

Reliable density-functional simulations require numerical settings whose residual errors are smaller than the chemical and materials trends being interpreted. In CP2K/Quickstep, th…