vibe‐qc : An Open‐Source, General‐Purpose Electronic‐Structure Code for Molecules and Solids Developed With Generative AI

ABSTRACT We present vibe‐qc , a general‐purpose open‐source electronic‐structure code for molecules and solids, developed almost entirely with agentic AI under expert human direction. The code is released under the Mozilla Public License 2.0 (MPLv2). The implementation comprises a C++17 numerical core and Python calculation drivers. Molecular methods include Hartree–Fock, Kohn–Sham DFT, Møller–Plesset theory and double hybrids, coupled cluster, active‐space methods, and excited states. Dispersion corrections, continuum solvation, and effective core potentials are also available. Periodic calculations use Gaussian‐basis HF and DFT with Brillouin‐zone sampling. Molecular and periodic method coverage differs; the feature matrices specify analytic and numerical derivatives and distinguish validated and experimental implementations. The validation set is a key contribution of this work. It combines independent program comparisons, published benchmarks, and internal consistency tests. Molecular mean‐field energies agree at the nanohartree scale, and conventional CCSD(T) energies agree within for the tested systems. Local‐correlation and periodic limitations are reported with the comparisons. Numerical results, calculation metadata, and analysis scripts are supplied as machine‐readable . The independently maintained vibe‐view viewer, vibe‐queue scheduler, and qvf toolkit support visualization and job management; trexio provides wavefunction interchange.

Authors

Institutions

Publication Details

Journal
Journal of Computational Chemistry
Published
2026-10-27
DOI
https://doi.org/10.1002/jcc.70525
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

vibe‐qc : An Open‐Source, General‐Purpose Electronic‐Structure Code for Molecules and Solids Developed With Generative AI

Michael F. Peintinger
2 links
Journal of Computational Chemistry
Advanced Chemical Physics Studies
article

vibe‐qc : An Open‐Source, General‐Purpose Electronic‐Structure Code for Molecules and Solids Developed With Generative AI

Michael F. Peintinger
article en

Abstract

ABSTRACT We present vibe‐qc , a general‐purpose open‐source electronic‐structure code for molecules and solids, developed almost entirely with agentic AI under expert human direction. The code is released under the Mozilla Public License 2.0 (MPLv2). The implementation comprises a C++17 numerical core and Python calculation drivers. Molecular methods include Hartree–Fock, Kohn–Sham DFT, Møller–Plesset theory and double hybrids, coupled cluster, active‐space methods, and excited states. Dispersion corrections, continuum solvation, and effective core potentials are also available. Periodic calculations use Gaussian‐basis HF and DFT with Brillouin‐zone sampling. Molecular and periodic method coverage differs; the feature matrices specify analytic and numerical derivatives and distinguish validated and experimental implementations. The validation set is a key contribution of this work. It combines independent program comparisons, published benchmarks, and internal consistency tests. Molecular mean‐field energies agree at the nanohartree scale, and conventional CCSD(T) energies agree within for the tested systems. Local‐correlation and periodic limitations are reported with the comparisons. Numerical results, calculation metadata, and analysis scripts are supplied as machine‐readable . The independently maintained vibe‐view viewer, vibe‐queue scheduler, and qvf toolkit support visualization and job management; trexio provides wavefunction interchange.

Journal of Computational ChemistryVol. 47(28)
University of Bonn (DE)
Rheinische Friedrich-Wilhelms-Universität Bonn
Openalex Percentile: Top 41%
Advanced Chemical Physics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon