2d-materials

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2D Materials Toolkit (4 sub-skills: band-edges, layer-manipulation, stacking-energy, vacuum-resize)

bjzgcai By bjzgcai schedule Updated 3/7/2026

name: 2d-materials description: 2D Materials Toolkit (4 sub-skills: band-edges, layer-manipulation, stacking-energy, vacuum-resize)

2D Materials Toolkit

Overview

This skill group covers computational tools for building, manipulating, and analyzing 2D (layered) materials. It corresponds to VASPKIT menu 92 (tasks 920-929) and provides workflows for layer manipulation, vacuum control, band edge alignment, and stacking energy calculations.

Sub-Skills

Sub-Skill Directory Description
Layer Manipulation layer-manipulation/ Move/center atomic layers, standardize 2D cell orientation, extract monolayers from bulk (VASPKIT 920-923)
Vacuum Resize vacuum-resize/ Resize vacuum thickness for slab/2D models, optimize vacuum for convergence testing (VASPKIT 922)
Band Edges band-edges/ Band edge alignment relative to vacuum level: work function, ionization potential, electron affinity (VASPKIT 927)
Stacking Energy stacking-energy/ Stacking-dependent potential energy surface for layered materials, interlayer binding energy vs lateral displacement (VASPKIT 926)

Method Decision Guide

Need to prepare a 2D material structure?
  --> layer-manipulation/ (center layers, extract monolayer, set orientation)

Need to adjust vacuum for slab calculations?
  --> vacuum-resize/ (set vacuum thickness, convergence testing)

Need band edge positions for photocatalysis or heterojunction design?
  --> band-edges/ (vacuum level alignment from electrostatic potential)

Need interlayer interaction energy or stacking order preference?
  --> stacking-energy/ (PES scan of lateral displacement)

Need to build a 2D heterostructure?
  --> layer-manipulation/ + vacuum-resize/ (stack layers, set spacing, add vacuum)

Common Prerequisites

  • pymatgen: Structure manipulation, slab generation
  • ASE: Structure I/O, calculator interface
  • MACE: Fast energy calculations for screening
  • Quantum ESPRESSO: DFT-quality electronic structure (band edges, accurate energies)
  • numpy, matplotlib: Numerical analysis and plotting
Install via CLI
npx skills add https://github.com/bjzgcai/MatClaw --skill 2d-materials
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