Adaptive stochastic methods for sampling driven molecular systems.
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Summary
Generalisations of the Nosé-Hoover method and Langevin dynamics are introduced which are able to dissipate excess heat introduced by steady Brownian perturbation while preserving ergodicity.
- Type
- article
- Published
- 2011-08-31
- Cited by
- 95
- References
- 25
- Access
- Open access
- OpenAlex
- https://openalex.org/W1987483432
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10830358
Keywords
Ergodicity, A priori and a posteriori, Statistical physics, Brownian motion, Nonlinear system
References
- Quantum drude oscillators for accurate many-body intermolecular forces
- Markov Chains and Stochastic Stability
- Stochastic thermostats: comparison of local and global schemes
- Nose-Hoover chain method for nonequilibrium molecular dynamics simulation
- A Gentle Stochastic Thermostat for Molecular Dynamics
- A unified formulation of the constant temperature molecular dynamics methods
- Stochastic boundary conditions for molecular dynamics simulations of ST2 water
- An energy-conserving two-temperature model of radiation damage in single-component and binary Lennard-Jones crystals.
- Constant pressure Langevin dynamics: theory and application
- Comparing the Efficiencies of Stochastic Isothermal Molecular Dynamics Methods
- Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise
- Thermostats for “Slow” Configurational Modes
- Explicit reversible integrators for extended systems dynamics
- Non-Ergodicity of the Nosé–Hoover Thermostatted Harmonic Oscillator
- Stochastic differential equations : an introduction with applications
- An Introduction to Ab Initio Molecular Dynamics Simulations
- Nos&Hoover chains: The canonical ensemble via continuous dynamics
- Nonequilibrium Molecular Dynamics and Multiscale Modeling of Heat Conduction in Solids
Cited by
- Origin of the structural phase transition in Li7La3Zr2O12.
- cp2k: atomistic simulations of condensed matter systems
- Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling
- Electronically coarse-grained molecular dynamics using quantum Drude oscillators
- Hamiltonian thermostats fail to promote heat flow
- Tests of an adaptive QM/MM calculation on free energy profiles of chemical reactions in solution.
- Direct control of the small-scale energy balance in two-dimensional fluid dynamics
- Geometric integration and thermostat methods for Hamiltonian systems
- Adaptive Thermostats for Noisy Gradient Systems
- The Adaptive Buffered Force QM/MM method in the CP2K and AMBER software packages
- Mechanistic Insights into Radical-Mediated Oxidation of Tryptophan from ab Initio Quantum Chemistry Calculations and QM/MM Molecular Dynamics Simulations.
- Pairwise adaptive thermostats for improved accuracy and stability in dissipative particle dynamics
- Electronic coarse graining enhances the predictive power of molecular simulation allowing challenges in water physics to be addressed
- Understanding the conformational flexibility and electrostatic properties of curcumin in the active site of rhAChE via molecular docking, molecular dynamics, and charge density analysis
- Non-Ergodicity of Nosé-Hoover Chain Dynamics
- Accurate interatomic force fields via machine learning with covariant kernels
- Integrating local information for inference and optimization in machine learning
- Extended stochastic dynamics: theory, algorithms, and applications in multiscale modelling and data science
- Insights into intermolecular interactions, electrostatic properties and the stability of C646 in the binding pocket of p300 histone acetyltransferase enzyme: a combined molecular dynamics and charge density study
- Assessing numerical methods for molecular and particle simulation.
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