Free Energy Computations: A Mathematical Perspective
By Tony Lelièvre, Mathias Rousset, Gabriel Stoltz. 2010
498 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/84992901ffc5d6343705b27b837e241d6d64a1bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- John D. Chodera
- Vijay S. Pande
- Gavin E. Crooks
- Jerome P. Nilmeier
- Gábor Csányi
- Michael R. Shirts
- David D. L. Minh
In Hardware and Architecture
Citations in the corpus
- Many-Body Coarse-Grained Interactions Using Gaussian Approximation Potentials. (2016, background): “Here we only consider linear combinations of Cartesian coordinates; however, it is possible to derive ICF for arbitrary collective variables, though this leads to significantly more complex equations [110].”
- Nonequilibrium candidate Monte Carlo is an efficient tool for equilibrium simulation (2011, methodology): “where we have used a velocity Verlet discretization of the BBK integrator [40, 36].”
- OpenMM 7: Rapid development of high performance algorithms for molecular dynamics (2016, methodology): “● Hybrid Monte Carlo and variants, such as Generalized hybrid Monte Carlo (GHMC) [25], a Metropolized form of Langevin dynamics.”
- Generalisation of the Eyring–Kramers Transition Rate Formula to Irreversible Diffusion Processes (2015, background): “On the one hand, it is known [41] that rescaling time by 1/γ and letting γ → +∞, (qt)t≥0 converges to the overdamped Langevin process dx t = −u′(x t)dt + √ 2 dwt, (5.”
- Enhanced Sampling Methods for Molecular Dynamics Simulations [Article v1.0] (2022, methodology): “In the Colvars implementation, this is done by solving a Poisson equation [46, 66, 224].”