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Reverse Monte Carlo

Known as: RMC 
The Reverse Monte Carlo (RMC) modelling method is a variation of the standard Metropolis-Hastings algorithm to solve an inverse problem whereby a… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Memory-based neural networks model temporal data by leveraging an ability to remember information for long periods. It is unclear… Expand
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Highly Cited
2014
Highly Cited
2014
This paper assesses world-wide patterns of material extraction, trade, consumption and productivity based on a new data set for… Expand
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Highly Cited
2009
Highly Cited
2009
We define Recursive Markov Chains (RMCs), a class of finitely presented denumerable Markov chains, and we study algorithms for… Expand
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Highly Cited
2009
Highly Cited
2009
Aluminum sulfate (alum), ferrous sulfate, ferric chloride and ferric chloro-sulfate were commonly used as coagulants. However, a… Expand
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Highly Cited
2007
Highly Cited
2007
A new version of the RMC++ Reverse Monte Carlo (RMC) software, with major modifications and additions, is introduced. The… Expand
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Highly Cited
2007
Highly Cited
2007
Since the seminal works of Merkle and Damgard on the iter- ation of compression functions, hash functions were built from compres… Expand
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2007
2007
Global localization is a very fundamental and challenging problem in Robotic Soccer. Here, the main aim is to find the best… Expand
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2004
2004
An implementation of the Reverse Monte Carlo algorithm is presented for the study of amorphous tetrahedral semiconductors. By… Expand
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Highly Cited
2001
Highly Cited
2001
Reverse Monte Carlo (RMC) modelling is a general method of structural modelling based on experimental data. RMC modelling can be… Expand
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Highly Cited
1990
Highly Cited
1990
ONE of the main difficulties in the study of glasses and other disordered materials is the production of structural models that… Expand
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