npj Computational Materials · 2016 · 2.3K citations · 159 references
Natural SciencesChemistryMaterials ScienceComputational ChemistryComputational Materials ScienceTheoretical ChemistryAb Initio MethodsAtomistic SimulationForce FieldsInteratomic PotentialsMolecular Orbital TheoryMolecular SimulationBondingClassical Force FieldsDynamic ProcessesInteratomic Potential ModelsQuantum Mechanics Force FieldsReactive Force FieldsReactive Molecular Dynamics
ReaxFF provides a computationally efficient, reactive interatomic potential that bridges the gap between costly quantum‑mechanical methods and classical empirical potentials that lack dynamic bonding. This article reviews the development, applications, and future directions of ReaxFF, highlighting its role in advancing reactive simulations. ReaxFF implements a bond‑order formalism within an empirical potential framework, allowing chemical bonds to form and break without explicit quantum calculations.
Abstract The reactive force-field (ReaxFF) interatomic potential is a powerful computational tool for exploring, developing and optimizing material properties. Methods based on the principles of quantum mechanics (QM), while offering valuable theoretical guidance at the electronic level, are often too computationally intense for simulations that consider the full dynamic evolution of a system. Alternatively, empirical interatomic potentials that are based on classical principles require significantly fewer computational resources, which enables simulations to better describe dynamic processes over longer timeframes and on larger scales. Such methods, however, typically require a predefined connectivity between atoms, precluding simulations that involve reactive events. The ReaxFF method was developed to help bridge this gap. Approaching the gap from the classical side, ReaxFF casts the empirical interatomic potential within a bond-order formalism, thus implicitly describing chemical bonding without expensive QM calculations. This article provides an overview of the development, application, and future directions of the ReaxFF method.
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The Amber biomolecular simulation programs
David A. Case, Thomas E. Cheatham, Tom Darden et al. · Journal of Computational Chemistry · 2005 · 9.6K citations · Full text
ReaxFF: A Reactive Force Field for Hydrocarbons
Adri C. T. van Duin, Siddharth Dasgupta, François Lorant et al. · The Journal of Physical Chemistry A · 2001 · 6.3K citations
Natural Sciences, Chemistry, Physics +17