An impulse integrator for Langevin dynamics
By Robert D. Skeel, Jesus A. Izaguirre. 2002
154 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/348fed6373ba70e3d34b082db93c19787cbd3397
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Emad Noorizadeh
- Niels Grønbech-Jensen
- Charles Matthews
- Jerrold E. Marsden
- Houman Owhadi
- Gabriel Stoltz
- B. Leimkuhler
- Oded Farago
In Statistical and Nonlinear Physics
- Houman Owhadi
- Molei Tao
- Emad Noorizadeh
- Niels Grønbech-Jensen
- Charles Matthews
- Jerrold E. Marsden
- Tony Lelièvre
- Gabriel Stoltz
Citations in the corpus
- The computation of averages from equilibrium and nonequilibrium Langevin molecular dynamics (2013, methodology): “…obtained by a splitting strategy, building on studies such as Talay (2002); Bou-Rabee & Owhadi (2010) and clarifying the sampling properties of recently proposed schemes Skeel & Izaguirre (2002); Melchionna (2007); Bussi & Parrinello (2007); Thalmann & Farago (2007); Leimkuhler & Matthews (2013a).”
- A simple and effective Verlet-type algorithm for simulating Langevin dynamics (2012, methodology): “The most popular integration schemes for the deterministic force constitute the van Gunsteren-Berendsen [9] and the Langevin impulse [10] methods.”
- A Gentle Stochastic Thermostat for Molecular Dynamics (2009, methodology): “Alternative discretizations may be obtained by following the procedures described in [4, 5, 20, 22, 31, 32].”
- Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0] (2022, methodology): “Note that in practice, more sophisticated discrete Langevin integration schemes are used, which bring much better accuracy, stability, and performance [34, 35].”
- Nonintrusive and Structure Preserving Multiscale Integration of Stiff ODEs, SDEs, and Hamiltonian Systems with Hidden Slow Dynamics via Flow Averaging (2009, background): “Since the foundational work of Bismut [10], the field of stochastic geometric mechanics is emerging in response to the demand for tools to analyze the structure of continuous and discrete mechanical systems with uncertainty [81, 48, 90, 25, 68, 69, 67, 56, 62, 15, 14, 16].”