Potfit: effective potentials from ab-initio data
arXiv:0704.0185 · doi:10.1088/0965-0393/15/3/008
Abstract
We present a program called potfit which generates an effective atomic interaction potential by matching it to a set of reference data computed in first-principles calculations. It thus allows to perform large-scale atomistic simulations of materials with physically justified potentials. We describe the fundamental principles behind the program, emphasizing its flexibility in adapting to different systems and potential models, while also discussing its limitations. The program has been used successfully in creating effective potentials for a number of complex intermetallic alloys, notably quasicrystals.
11 pages
References in corpus (5)
- Interatomic potentials from first-principles calculations: the force-matching method
- Effective potentials for quasicrystals from ab-initio data
- Low-energy relativistic effects and nonlocality in time-dependent tunneling
- Which distributions of matter diffract? - Some answers
- Dynamic fracture of icosahedral model quasicrystals: A molecular dynamics study
Cited by in corpus (31)
- Strengthening in multi-principal element alloys with local-chemical-order roughened dislocation pathways
- Machine-learning interatomic potentials for materials science
- Adaptive Genetic Algorithm for Crystal Structure Prediction
- Force-matched embedded-atom method potential for niobium
- Classical interaction potentials for diverse materials from ab initio data: a review of potfit
- Relating melting trends and elasticity in simple metals: an empirical potential approach
- Dynamic Simulation of Structural Phase Transitions in Magnetic Iron
- Embedded atom method potentials for Al-Pd-Mn phases
- A polarizable interatomic force field for TiO parameterized using density functional theory
- KLIFF: A framework to develop physics-based and machine learning interatomic potentials
- Direct Wolf summation of a polarizable force field for silica
- Efficacy of the Radial Pair Potential Approximation for Molecular Dynamics Simulations of Dense Plasmas
- atomicrex - A general purpose tool for the construction of atomic interaction models
- Simulation of crack propagation in alumina with ab-initio based polarizable force field
- Uncertainty quantification for classical effective potentials: an extension to potfit
- The OpenKIM Processing Pipeline: A Cloud-Based Automatic Materials Property Computation Engine
- Accelerating ab initio path integral molecular dynamics with multilevel sampling of potential surface
- Ab initio based polarizable force field generation and application to liquid silica and magnesia
- A KIM-compliant potfit for fitting sloppy interatomic potentials: Application to the EDIP model for silicon
- Low-temperature structure of xi'-Al-Pd-Mn optimized by ab-initio methods
- Structures and magnetic properties of Co-Zr-B magnets studied by first-principles calculations
- Structures and magnetic properties of iron silicide from adaptive genetic algorithm and first-principles calculations
- Influence of polarizability on metal oxide properties studied by molecular dynamics simulations
- Structures, phase transitions, and magnetic properties of Co3Si from first-principles calculations
- EZFF: Python Library for Multi-Objective Parameterization and Uncertainty Quantification of Interatomic Forcefields for Molecular Dynamics
- Yukawa Friedel-Tail pair potentials for warm dense matter applications
- Unconventional iron-magnesium compounds at terapascal pressures
- Structure and motifs of iron oxides from 1 to 3 TPa
- Prediction of crystal structures and motifs in the Fe-Mg-O system at Earth's core pressures
- Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling
- Modeling dislocations in quasicrystals through amplitude equations