What problem does it solve?
Analyzing Gaussian-generated wavefunction files (.fchk, .wfn, .wfx) requires manually driving the interactive Multiwfn program and parsing its verbose text output. This Skill automates the entire workflow: it runs Multiwfn with a scripted command sequence and parses the resulting log into a structured JSON summary containing orbital energies, population analysis, and surface analysis data.
Core Features & Use Cases
- Orbital Energy Extraction: Automatically parses HOMO, LUMO, and HOMO-LUMO gap energies in a.u., eV, and kJ/mol from Multiwfn output logs.
- Population & Charge Analysis: Extracts Mulliken, Hirshfeld, and ADCH atomic charge models into structured JSON.
- Molecular Surface Analysis: Captures volume, surface area, extrema, averages, variance, and per-atom surface contributions from quantitative molecular surface analysis.
- Use Case: A computational chemist runs a Gaussian geometry optimization on acetic acid, then uses this Skill to feed the resulting .fchk file through Multiwfn and immediately obtain a summary.json with the HOMO-LUMO gap, Hirshfeld charges, and electrostatic potential surface statistics.
Quick Start
Ask the agent to analyze your Gaussian .fchk file with Multiwfn and extract the HOMO/LUMO energies, atomic charges, and molecular surface properties into a summary report.