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Parallel tempering

Known as: REMD, Replica Exchange 
Parallel tempering, also known as replica exchange MCMC sampling, is a simulation method aimed at improving the dynamic properties of Monte Carlo… 
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Related topics

Related topics

19 relations
AbaloneAssisted Model Building with Energy Refinement (AMBER)DesmondDetailed balance

Broader (2)

Markov chain Monte CarloStochastic optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2011
2011
Comparison of the Adsorption Transition for Grafted and Nongrafted Polymers
We compare the thermodynamic behavior of a finite single nongrafted polymer near an attractive substrate with that of a polymer… 
2011
2011
Caged clusters in Al$_{11}$Ir$_4$: structural transition and insulating phase
Using pair potentials fitted to an ab--initio database, combined with replica--exchange simulated annealing, we show the complex… 
2010
2010
Effective Monte Carlo Scheme for Multicomponent Gas Adsorption and Enantioselectivity in Nanoporous Materials
We devise an efficient Monte Carlo scheme to study the adsorption of a multicomponent gas in a nanoporous material. The… 
2007
2007
Efficient scheme for optimization of parallel tempering Monte Carlo method
The parallel tempering (PT) Monte Carlo sampling scheme has already been applied to studying different systems, including spin… 
2006
2006
Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Applications
This paper presents Salsa, a novel, decentralized and asynchronous realization of the "replica exchange" algorithm for simulating… 
2004
2004
The design and implementation of a fault-tolerant RPC system: Ninf-C
We describe the design and implementation of a fault tolerant GridRPC system, Ninf-C, designed for easy programming of large… 
2004
2004
Quantum phase transition of water clusters: molecular dynamics simulations with a model potential
2002
2002
Generalized parallel sampling
1999
1999
Relaxed simulated tempering for VLSI floorplan designs
In the past two decades, the simulated annealing technique has been considered as a powerful approach to handle many NP-hard… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
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