Physical Review Letters · 2004 · 312 citations · 27 references
Natural SciencesChemistryPhysicsComputational ChemistryComputational PhysicsQuantum ChemistryAtomistic SimulationEnergy MinimizationMolecular DynamicsMolecular ModelingMolecular SimulationQuantum SimulationClassical Molecular DynamicsForce Field OptimizationHybrid Molecular MechanicsModel TransferabilityMolecular Simulation AlgorithmsQuantum Chemistry SimulationQuantum Molecular DynamicsSilicon
We describe and test a novel molecular dynamics method which combines quantum-mechanical embedding and classical force model optimization into a unified scheme free of the boundary region, and the transferability problems which these techniques, taken separately, involve. The scheme is based on the idea of augmenting a unique, simple parametrized force model by incorporating in it, at run time, the quantum-mechanical information necessary to ensure accurate trajectories. The scheme is tested on a number of silicon systems composed of up to approximately 200 000 atoms.
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Neural networks for pattern recognition
Choice Reviews Online · 1994 · 18.7K citations
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