AIMPRO

Official Resources

• Homepage: http://aimpro.ncl.ac.uk/
• Documentation: http://aimpro.ncl.ac.uk/Documentation/
• Developer: Newcastle University (UK)
• License: Academic license

Overview

AIMPRO is an ab initio DFT code that uses localized Gaussian orbitals and pseudopotentials for materials modeling. Developed at Newcastle University, it is particularly well-suited for defect calculations, semiconductor physics, and understanding the electronic structure of complex materials systems.

Scientific domain: Semiconductors, defects, dopants, diamond/SiC materials
Target user community: Materials scientists studying point defects, dopants, and impurities in semiconductors

Theoretical Methods

• Density Functional Theory (DFT)
• Cartesian Gaussian orbital basis
• Norm-conserving pseudopotentials (BHS type)
• LDA and GGA exchange-correlation functionals
• Cluster and supercell approaches
• Local orbital eigenvalue methods
• Self-consistent field calculations

Capabilities (CRITICAL)

• Ground-state electronic structure
• Total energy calculations
• Force calculations
• Geometry optimization
• Supercell periodic calculations
• Cluster calculations
• Point defect energetics
• Dopant electronic structure
• Vibrational frequencies
• Migration barriers
• Formation energies
• Band structure and DOS

Sources: Newcastle University, published applications

Key Strengths

Defect Specialization:

• Point defect expertise
• Formation energy calculations
• Defect level positions
• Dopant binding energies
• Vacancy and interstitial studies

Gaussian Basis Efficiency:

• Analytic integrals
• Localized description
• Compact basis sets
• Efficient for defects

Historical Applications:

• Diamond defects (NV centers)
• Silicon defects
• Silicon carbide
• III-V semiconductors

Localized Orbital Methods:

• Rapid iterative eigensolvers
• Efficient large-scale calculations
• Localized basis advantages

Inputs & Outputs

• Input formats:

  • AIMPRO input files
  • Atomic coordinates
  • Basis set specifications
  • Pseudopotential files

• Output data types:

  • Total energies
  • Forces
  • Optimized structures
  • Eigenvalues
  • Charge densities
  • Vibrational modes

Interfaces & Ecosystem

• Processing tools:

  • Structure builders
  • Supercell generators
  • Defect placement utilities

• Analysis:

  • Charge density analysis
  • Local mode calculations
  • Formation energy processing

Advanced Features

Defect Formation Energies:

• Charged defect calculations
• Chemical potential framework
• Fermi level dependence
• Concentration predictions

Vibrational Analysis:

• Local vibrational modes (LVM)
• Isotope effects
• IR/Raman comparison
• Defect identification

Migration Calculations:

• Nudged elastic band
• Migration barriers
• Diffusion mechanisms
• Kinetic modeling

Spin Polarization:

• Magnetic defects
• Spin states
• Paramagnetic centers
• EPR predictions

Performance Characteristics

• Speed: Efficient Gaussian implementation
• Accuracy: Standard DFT accuracy
• System size: Hundreds of atoms in supercells
• Memory: Moderate requirements
• Parallelization: Available

Computational Cost

• Defect calculations: Supercell approach efficient
• Typical: Workstation to cluster
• Geometry optimization: Standard efficiency

Limitations & Known Constraints

• Availability: Academic license required
• Documentation: Academic-focused
• Community: Specialized user base
• Hybrid functionals: Limited support
• Metallic systems: Less tested

Comparison with Other Codes

• vs VASP: AIMPRO Gaussian vs VASP plane-wave
• vs CRYSTAL: Similar Gaussian approach
• vs FHI-aims: Both localized, different focuses
• Unique strength: Defect physics expertise, semiconductor focus

Application Areas

Diamond Defects:

• Nitrogen-vacancy (NV) centers
• Substitutional impurities
• Aggregation mechanisms
• Optical properties

Silicon Physics:

• Dopant atoms
• Vacancy clusters
• Interstitial defects
• Diffusion mechanisms

Wide-Bandgap Semiconductors:

• Silicon carbide defects
• Doping in SiC
• Polytypes
• High-power electronics

III-V Semiconductors:

• GaAs, InP defects
• Deep levels
• Compensation mechanisms

Best Practices

Supercell Size:

• Convergence testing required
• Balance accuracy and cost
• Charge correction for ionic defects

Basis Set Selection:

• Appropriate for elements
• Test convergence
• Document choices

Community and Support

• Newcastle University group
• Academic collaborations
• Published methodology
• Specialized community

Verification & Sources

Primary sources:

1. Website: http://aimpro.ncl.ac.uk/
2. Newcastle University computational physics group
3. Published defect studies in diamond, Si, SiC

Confidence: VERIFIED - Established academic code with publications

Verification status: ✅ VERIFIED

• Source code: Academic license
• Academic use: Widespread in defect physics
• Documentation: Available
• Development: Active at Newcastle
• Specialty: Point defects, semiconductors, diamond materials