Irradiated and Relaxed Samples (Molecular Dynamics)
This repository contains molecular dynamics (MD) simulation data of a material system in two distinct states: a defected configuration generated by irradiation cascades and a fully relaxed (annealed) reference structure.
1. Irradiated Sample (180 Cascades)
The first dataset corresponds to a material configuration after irradiation damage accumulation, consisting of approximately 180 primary knock-on atom (PKA) cascades. The system exhibits a high concentration of radiation-induced defects such as vacancies, interstitials, and local lattice distortions.
Format: LAMMPS dump file
Number of atoms: 262,080
State: Post-irradiation (damaged configuration)
Content: atomic positions, velocities, atomic types, and simulation box boundaries
Purpose: analysis of radiation damage accumulation, defect clustering, and cascade overlap effects
This dataset represents a highly non-equilibrium structure and can be used for studies of radiation tolerance, defect evolution, and microstructural degradation under irradiation.
2. Relaxed Reference Sample
The second dataset represents the same or equivalent material system after full structural relaxation. The configuration was obtained through energy minimization and/or thermal relaxation to remove irradiation-induced defects and restore a near-equilibrium crystalline state.
Format: LAMMPS dump file
Number of atoms: 1,048,320
State: Fully relaxed (annealed reference structure)
Content: atomic positions, velocities, atomic types, and simulation box boundaries
Purpose: reference configuration for comparison with irradiated state
This dataset serves as a baseline for quantifying defect formation, lattice strain, and structural changes induced by irradiation.
Data Format
Both datasets are stored in standard LAMMPS dump format and include:
ITEM: TIMESTEP
ITEM: NUMBER OF ATOMS
ITEM: BOX BOUNDS
ITEM: ATOMS id type x y z vx vy vz
where:
id is the atom identifier
type defines atomic species
x, y, z are atomic coordinates
vx, vy, vz are atomic velocities
Applications
These datasets are intended for:
radiation damage analysis
defect structure characterization
machine learning potentials training/validation
comparison between damaged and equilibrium states
multiscale materials modeling
(2026-06-21)