An adaptive weighted ensemble procedure for efficient computation of free energies and first passage rates.
about
Exploring the conformational transitions of biomolecular systems using a simple two-state anisotropic network modelMarkov State Models of gene regulatory networksWESTPA: an interoperable, highly scalable software package for weighted ensemble simulation and analysisWeighted Ensemble Simulation: Review of Methodology, Applications, and Software.WExplore: hierarchical exploration of high-dimensional spaces using the weighted ensemble algorithm.Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories.Efficient stochastic simulation of chemical kinetics networks using a weighted ensemble of trajectories.Weighted-ensemble Brownian dynamics simulation: sampling of rare events in nonequilibrium systems.Efficiently sampling conformations and pathways using the concurrent adaptive sampling (CAS) algorithm.Adaptive free energy sampling in multidimensional collective variable space using boxed molecular dynamics.
P2860
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P2860
An adaptive weighted ensemble procedure for efficient computation of free energies and first passage rates.
description
2012 nî lūn-bûn
@nan
2012年の論文
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2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
An adaptive weighted ensemble ...... rgies and first passage rates.
@en
An adaptive weighted ensemble ...... rgies and first passage rates.
@nl
type
label
An adaptive weighted ensemble ...... rgies and first passage rates.
@en
An adaptive weighted ensemble ...... rgies and first passage rates.
@nl
prefLabel
An adaptive weighted ensemble ...... rgies and first passage rates.
@en
An adaptive weighted ensemble ...... rgies and first passage rates.
@nl
P2860
P356
P1476
An adaptive weighted ensemble ...... rgies and first passage rates.
@en
P2093
Divesh Bhatt
P2860
P304
P356
10.1063/1.4748278
P407
P50
P577
2012-09-01T00:00:00Z