Basic statistics and variational concepts behind the reverse Monte Carlo technique
(2007) In Molecular Simulation 33(8). p.639-647- Abstract
- We revise the statistical foundations of the reverse Monte Carlo ( RMC) technique by constructing the associated functional of a variational principle which incorporates, without any ad hoc assumptions, the inherent errors accompanying the simulation and the experimental data. We propose a Bayesian criteria for acceptance/rejection of configurations, in terms of the variations of the functional. The loss function and variational functional minimization approaches are compared.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/691545
- author
- Da Silva, Fernando Luis Barroso LU ; Olivares-Rivas, W. and Colmenares, P. J.
- organization
- publishing date
- 2007
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- reverse Monte Carlo, statistical mechanics, functional analysis, function, loss
- in
- Molecular Simulation
- volume
- 33
- issue
- 8
- pages
- 639 - 647
- publisher
- Taylor & Francis
- external identifiers
-
- wos:000248941300004
- scopus:34548132046
- ISSN
- 0892-7022
- DOI
- 10.1080/08927020701361884
- language
- English
- LU publication?
- yes
- additional info
- The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Theoretical Chemistry (S) (011001039)
- id
- 07f4b1d6-033e-4a3d-a5b1-ec0ceb648cdd (old id 691545)
- date added to LUP
- 2016-04-01 11:41:08
- date last changed
- 2023-01-02 21:53:10
@article{07f4b1d6-033e-4a3d-a5b1-ec0ceb648cdd, abstract = {{We revise the statistical foundations of the reverse Monte Carlo ( RMC) technique by constructing the associated functional of a variational principle which incorporates, without any ad hoc assumptions, the inherent errors accompanying the simulation and the experimental data. We propose a Bayesian criteria for acceptance/rejection of configurations, in terms of the variations of the functional. The loss function and variational functional minimization approaches are compared.}}, author = {{Da Silva, Fernando Luis Barroso and Olivares-Rivas, W. and Colmenares, P. J.}}, issn = {{0892-7022}}, keywords = {{reverse Monte Carlo; statistical mechanics; functional analysis; function; loss}}, language = {{eng}}, number = {{8}}, pages = {{639--647}}, publisher = {{Taylor & Francis}}, series = {{Molecular Simulation}}, title = {{Basic statistics and variational concepts behind the reverse Monte Carlo technique}}, url = {{http://dx.doi.org/10.1080/08927020701361884}}, doi = {{10.1080/08927020701361884}}, volume = {{33}}, year = {{2007}}, }