MDANSE

Official Resources

• Homepage: https://www.isis.stfc.ac.uk/Pages/MDANSEproject.aspx
• Documentation: https://mdanse.readthedocs.io/
• Source Repository: https://github.com/ISISNeutronMuon/MDANSE
• License: GPL-3.0

Overview

MDANSE (Molecular Dynamics Analysis for Neutron Scattering Experiments) is a Python application for computing properties from molecular dynamics trajectories that can be directly compared with neutron scattering experiments.

Scientific domain: Neutron scattering analysis, MD trajectory analysis
Target user community: Researchers comparing MD with neutron scattering experiments

Theoretical Methods

• Dynamic structure factor S(Q,ω)
• Intermediate scattering function
• Density of states
• Mean square displacement
• Velocity autocorrelation

Capabilities (CRITICAL)

• Neutron scattering observables
• Multiple trajectory formats
• GUI and scripting
• Extensive analysis tools
• Experimental comparison

Key Strengths

Neutron Scattering:

• Direct experimental comparison
• S(Q,ω) calculation
• Coherent/incoherent contributions

Analysis Tools:

• Comprehensive observables
• Multiple formats
• User-friendly GUI

Inputs & Outputs

• Input formats:

  • Multiple MD formats
  • LAMMPS, GROMACS, etc.

• Output data types:

  • Scattering functions
  • Analysis results

Advanced Features

• S(Q,ω): Dynamic structure factor
• F(Q,t): Intermediate scattering
• DOS: Density of states
• MSD: Mean square displacement

Performance Characteristics

• Python-based
• Parallel analysis
• Good for large trajectories

Computational Cost

• Analysis: Moderate
• Depends on trajectory size
• Overall: Reasonable

Application Areas

• Neutron scattering interpretation
• Liquid dynamics
• Polymer dynamics
• Biological systems

Verification & Sources

Primary sources:

1. GitHub: https://github.com/ISISNeutronMuon/MDANSE

Confidence: VERIFIED

Verification status: ✅ VERIFIED

• Source code: OPEN (GitHub, GPL-3.0)