gpaw

Configure GPAW backend parameters for ASE computational chemistry workflows.

124|25|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/jinzhezenggroup/computational-chemistry-agent-skills --skill gpaw
Or copy as Structured Prompt for Agent
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.