2019
DOI: 10.1016/j.cplett.2019.136778
|View full text |Cite
|
Sign up to set email alerts
|

Development of force fields for binary systems: Application to a dimethylsulfoxide (DMSO) – Oxygen mixture

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
9
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(9 citation statements)
references
References 30 publications
0
9
0
Order By: Relevance
“…To this end, a significant increase in computer power in the last two decades has permitted us to resort to accurate quantum mechanical (QM) methods, able to yield reliable reference data, over which specific FFs can be parameterized. Exploiting this possibility, several automated or semi-automated methods have been proposed that are able to deliver such quantum mechanically derived force fields (QMD-FFs). , Although all of these procedures are rooted in the possibility of deriving FF parameters based on selected QM data, they present different features, according to which they may be classified. One possible criterion is to consider the type of FF parameters employed: most of the aforementioned QMD-FF procedures concern either with the description of the single-molecule flexibility (intramolecular or valence FFs), ,,,,,,,,,, with the interaction between two or more species (intermolecular or noncovalent FFs), ,,,,,,,,,, or with both these aspects simultaneously. ,,,,,,, , Alternatively, the different QMD-FFs can be also classified based on the complexity of their defining model functions.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…To this end, a significant increase in computer power in the last two decades has permitted us to resort to accurate quantum mechanical (QM) methods, able to yield reliable reference data, over which specific FFs can be parameterized. Exploiting this possibility, several automated or semi-automated methods have been proposed that are able to deliver such quantum mechanically derived force fields (QMD-FFs). , Although all of these procedures are rooted in the possibility of deriving FF parameters based on selected QM data, they present different features, according to which they may be classified. One possible criterion is to consider the type of FF parameters employed: most of the aforementioned QMD-FF procedures concern either with the description of the single-molecule flexibility (intramolecular or valence FFs), ,,,,,,,,,, with the interaction between two or more species (intermolecular or noncovalent FFs), ,,,,,,,,,, or with both these aspects simultaneously. ,,,,,,, , Alternatively, the different QMD-FFs can be also classified based on the complexity of their defining model functions.…”
Section: Introductionmentioning
confidence: 99%
“…Exploiting this possibility, several automated or semi-automated methods have been proposed that are able to deliver such quantum mechanically derived force fields (QMD-FFs). , Although all of these procedures are rooted in the possibility of deriving FF parameters based on selected QM data, they present different features, according to which they may be classified. One possible criterion is to consider the type of FF parameters employed: most of the aforementioned QMD-FF procedures concern either with the description of the single-molecule flexibility (intramolecular or valence FFs), ,,,,,,,,,, with the interaction between two or more species (intermolecular or noncovalent FFs), ,,,,,,,,,, or with both these aspects simultaneously. ,,,,,,, , Alternatively, the different QMD-FFs can be also classified based on the complexity of their defining model functions. Indeed, exploiting the wealth of information contained in the parent QM description, more complex and physically motivated models can be adopted in the FF definition, allowing, for instance, to separately account for three-body terms, polarization effects, dispersion interactions, etc. ,,,,,,, …”
Section: Introductionmentioning
confidence: 99%
“…This might introduce a further obstacle, which can be overcome by refining or fully re-parameterizing the FF, based on accurate Quantum Mechanical (QM) data, as recently reported by several groups. [44][45][46][47][48][49] Once the reliability of the classical MD trajectories has been validated, a very convenient method to compute spectra of complex and flexible systems in explicit environments is performing a Classical Ensemble Average of Vertical Excitations (CEA-VE). It essentially consists in performing a sufficiently long and accurate MD trajectory, from which a number of uncorrelated snapshots, large enough to ensure convergence, is extracted, and successively computing vertical transition energies and intensities for each frame.…”
mentioning
confidence: 99%
“…From the point of view of the FFs, it can be foreseen that for accurate applications, besides the introduction of polarizable FFs to account for the mutual solute-solvent polarization already mentioned, general purpose FFs will be replaced by QMD-FFs, optimized both for the solute-solvent interactions, and also for the intramolecular motion of the solute and specific for each of its electronic states. [226][227][228][229] QMD-FFs offer the possibility to replace a QM/MM trajectory with a much faster fully MM/MM trajectory, and have been proven to be helpful to investigate solvation problems. 43 They should be particularly suited when extended sampling before photoexcitation is required, or when many initial conditions and/or long excited-state propagations are needed.…”
Section: Discussionmentioning
confidence: 99%