2017
DOI: 10.1063/1.5009431
|View full text |Cite
|
Sign up to set email alerts
|

Reliability assessment for large-scale molecular dynamics approximations

Abstract: Molecular dynamics (MD) simulations are used in biochemistry, physics, and other fields to study the motions, thermodynamic properties, and the interactions between molecules. Computational limitations and the complexity of these problems, however, create the need for approximations to the standard MD methods and for uncertainty quantification and reliability assessment of those approximations. In this paper, we exploit the intrinsic two-scale nature of MD to construct a class of large-scale dynamics approxima… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 23 publications
0
3
0
Order By: Relevance
“…The limitations of computational models are reflected in model idealization and model scale limitations 83,84 . In fact, the ion substitution of minerals is irregular.…”
Section: Limitations Of MD Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The limitations of computational models are reflected in model idealization and model scale limitations 83,84 . In fact, the ion substitution of minerals is irregular.…”
Section: Limitations Of MD Methodsmentioning
confidence: 99%
“…The limitations of computational models are reflected in model idealization and model scale limitations. 83,84 In fact, the ion substitution of minerals is irregular. But the simulation can only establish a relatively ideal model, and when the model has some defects, the results may be very different.…”
Section: Idealization and Size Scale Limitation Of Models Defectmentioning
confidence: 99%
“…The results demonstrated that a suitable choice of the observables allows the recovery of "true" parameters with high accuracy even with low-order surrogate models. MD evolution equations are non-linear and strongly [62] coupled, as discussed by Grogan, et al [63]. In their study, they made detailed numerical comparisons between full classical MD simulations and MD simulations using large-scale approximations.…”
Section: Uncertainty Quantification Approaches For MD Simulationsmentioning
confidence: 99%