substitutional-doping

Replace host atoms with dopants in structures for automated geometry optimization workflows.

181|20|Updated Apr 29, 2026
One-click install
npx skills add https://github.com/Hello-QM/catgo-LRG --skill substitutional-doping
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: substitutional-doping
Source: https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/structure-doping
Command: npx skills add https://github.com/Hello-QM/catgo-LRG --skill substitutional-doping

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Substitutional doping provides a straightforward way to replace host atoms with dopants, enabling targeted tuning of catalytic activity, electronic structure, and material properties.

Core Features & Use Cases

  • Replace a single atom to create doped sites for improved activity.
  • Build alloy surfaces or heterostructures by systematic substitutions.
  • Integrate into workflows to automate structure generation, relaxation, and property evaluation.

Quick Start

Substitute a host atom with a dopant in your structure and run a geometry-optimization workflow.

Frequently Asked Questions about substitutional-doping

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

FAQPage Schema
How do I perform substitutional doping to modify material properties?

Substitutional doping replaces host atoms with dopants to tailor catalytic and electronic properties. You provide a structure input, specify the atom replacement, and run a geometry-optimization workflow to generate the modified material.

Can I build alloy surfaces and heterostructures by replacing single atoms?

Yes, building alloy surfaces and heterostructures is achieved through systematic substitutions of host atoms. This allows you to create doped sites and evaluate structure modification within an automated workflow.

What structure input is required to start creating doped sites?

You need a valid crystallographic or molecular structure input that supports atom replacement capability. This serves as the base host material for integrating dopants to tune catalytic activity.

Does this workflow support geometry optimization and DFT+U parameters?

Yes, the workflow supports options for geometry optimization, spin polarization, and DFT+U parameters. These settings ensure accurate relaxation and electronic structure evaluation of the doped material.

What is the best way to automate structure generation and property evaluation for doped materials?

The best way is to integrate substitutional doping into automated workflows that handle structure generation, relaxation, and property evaluation sequentially. This streamlines tuning catalytic activity through systematic dopant substitution.