gpaw

Configure GPAW backend parameters for ASE computational chemistry workflows.

124|25|Updated Feb 20, 2026

Search Tags:#workflow #backend #convergence #calculator #ase #gpaw #k-point

Ready to run

npx skills add https://github.com/jinzhezenggroup/computational-chemistry-agent-skills --skill gpaw

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gpaw
Source: https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/main/atomistic-workflows/ase/ase-calculators/gpaw
Command: npx skills add https://github.com/jinzhezenggroup/computational-chemistry-agent-skills --skill gpaw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Configure GPAW backend parameters for ASE workflows to enable reproducible GPAW-based calculations.

Core Features & Use Cases

GPAW mode selection: PW, LCAO, or FD to match the workflow needs.
XC and solver settings: Choose exchange-correlation functionals and convergence controls.
K-point and convergence control: Define k-point sampling and convergence thresholds for reliable results.
Restart and checkpoint policies: Manage restarts for long-running calculations.

Quick Start

Provide a GPAW mode, XC choice, and k-point policy to initialize the GPAW calculator for an ASE workflow.

Frequently Asked Questions about gpaw

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I configure GPAW backend parameters for an ASE workflow?▼

To configure GPAW for an ASE workflow, you must provide mandatory inputs including the GPAW mode, exchange-correlation functional, k-point sampling policy, and convergence criteria to generate a calculator configuration payload.

What GPAW modes are available for computational chemistry calculations?▼

GPAW mode selection includes PW (plane wave), LCAO (linear combination of atomic orbitals), and FD (finite difference) modes, allowing you to match the specific requirements of your ASE-based computational chemistry workflow.

How do I control k-point sampling and convergence thresholds in GPAW?▼

You can define k-point sampling and convergence thresholds within the GPAW calculator configuration to ensure reliable results across small to large systems in your computational chemistry tasks.

Can I manage restarts and checkpoints for long-running GPAW calculations?▼

Yes, you can specify optional restart and checkpoint policies to manage long-running calculations, ensuring reproducible GPAW-based calculations without losing progress in your ASE workflows.

What optional settings are supported when initializing a GPAW calculator?▼

Optional settings for initializing a GPAW calculator include occupations, spin polarization, and restart behavior, complementing the mandatory inputs for customized ASE workflow configurations.

Does GPAW configuration support both small and large atomic systems?▼

Yes, the GPAW backend configuration applies to ASE-based computational chemistry tasks across small to large systems, utilizing k-point sampling and convergence controls to handle varying system scales.