Materials Science

SkillDatabases & data

Your AI Research Lab That Never Sleeps. 9 agents, 263 skills, 77 databases — from literature to publication, every discipline, zero boundaries.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Materials Science skill

What this skill tells your AI

The instructions your AI receives, as published by zaoqu-liu/scienceclaw in skills/materials/SKILL.md and read by ahel’s review.

Overview

Computational materials science, simulation, and property prediction.

Key Tools

  • VASP: Density functional theory (DFT) calculations
  • Gaussian: Quantum chemistry
  • LAMMPS: Molecular dynamics
  • Pymatgen: Python materials genomics
  • ASE: Atomic simulation environment
  • Materials Project API: Materials property database

Common Workflows

DFT Property Calculation

  1. Structure optimization (VASP/Gaussian)
  2. Electronic structure (band structure, DOS)
  3. Mechanical properties (elastic constants)
  4. Optical properties (dielectric function)
  5. Thermodynamic properties (phonon, free energy)

Materials Screening

  1. Query databases (Materials Project, AFLOW, OQMD)
  2. Filter by target properties
  3. DFT verification of candidates
  4. Experimental validation

Machine Learning for Materials

  • Crystal graph neural networks (CGCNN, MEGNet)
  • Composition-based models (Magpie, Roost)
  • Active learning for experimental design
  • Transfer learning from large pre-trained models

Databases

DatabaseContentAccess
Materials Project150K+ inorganic materialsFree API
AFLOW3.5M+ material entriesFree API
ICSDCrystal structuresSubscription
CODOpen crystal structuresFree
CitrinationMaterials data platformFree tier

Signals

GitHub stars
60
Forks
14
Last commit
Mar 2026
Advanced
Catalog kind
skill
Gateway key
materials-zaoqu-liu
Source
github.com/zaoqu-liu/scienceclaw