scientific-materials-characterization

Integrate XRD, AFM, electrical, and optical data to quantify structure-property relationships in thin films.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-materials-characterization
Or copy as Structured Prompt for Agent
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Skill: scientific-materials-characterization
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-materials-characterization
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-materials-characterization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables systematic structural characterization of thin films by integrating measurements such as XRD, AFM, electrical, and optical data into a PSP (Process-Structure-Property) framework to quantify structure–property relationships.

Core Features & Use Cases

  • XRD analysis & PSP mapping: Integrates Scherrer crystallite size and Williamson–Hall analysis to derive crystallite size, strain, and orientation information.
  • Multi-technique data fusion: Combines XRD, AFM, electrical, and optical measurements to derive PSP-level insights.
  • Real-world use case: Correlate deposition conditions with film structure and properties to optimize optical and electrical performance.

Quick Start

Load your thin-film measurement dataset and run the PSP mapping to derive structure-property relationships.

Frequently Asked Questions about scientific-materials-characterization

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

FAQPage Schema
How do I integrate XRD and AFM data to analyze thin-film structure-property relationships?

To analyze thin-film structure-property relationships, this skill integrates XRD and AFM measurements within a PSP framework to map processing conditions to material properties and derive robust metrics.

What is a PSP framework for materials characterization and when do I need it?

A PSP framework for materials characterization maps the correlation between processing conditions, structure, and properties. You need it to systematically quantify structure-property metrics in thin films.

Can I extract crystallite size and strain from XRD data for thin films?

Yes, you can extract crystallite size and strain from XRD data for thin films. The skill applies Scherrer and Williamson–Hall analysis to derive crystallite size, strain, and orientation information.

How do I correlate deposition conditions with optical and electrical performance in thin films?

To correlate deposition conditions with optical and electrical performance, multi-technique data fusion combines electrical and optical measurements with structural data to produce PSP-level insights.

Do I need a specific data fusion routine to map processing conditions to material properties?

Yes, mapping processing conditions to material properties requires data fusion routines and a PSP framework. This skill needs these to integrate XRD, AFM, conductivity, and spectroscopic data.