Evidence map›Paper›PMID 36677859›Full record

ArticleMolecules (Basel, Switzerland)2023

Molecular Modelling of Ionic Liquids: Situations When Charge Scaling Seems Insufficient.

Zhaoxi Sun, Lei Zheng, Zuo-Yuan Zhang, Yalong Cong, Mao Wang, Xiaohui Wang, Jingjing Yang, Zhirong Liu, Zhe Huai

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Host Dynamics under General-Purpose Force Fields.Molecules (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Zhaoxi SunCollege of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.ORCID 0000-0001-8311-7797
Lei ZhengNYU-ECNU Center for Computational Chemistry at NYU Shanghai, Shanghai 200062, China.ORCID 0000-0002-3637-7198
Zuo-Yuan ZhangCollege of Physical Science and Technology, Yangzhou University, Yangzhou 225009, China.
Yalong CongSchool of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China.ORCID 0000-0002-0910-811X
Mao WangNCS Testing Technology Co., Ltd., No. 13, Gaoliangqiao Xiejie, Beijing 100081, China.
Xiaohui WangCollege of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Jingjing YangSchool of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.
Zhirong LiuCollege of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
Zhe HuaiXtalPi-AI Research Center, 7F, Tower A, Dongsheng Building, No.8, Zhongguancun East Road, Beijing 100083, China.
Peking University · CNEast China Normal University · CNNew York University Shanghai · CNSuzhou University of Science and Technology · CNYangzhou University · CN

Funding

Beijing Natural Science Foundation 7224357National Natural Science Foundation of China 22273003Natural Science Fund for Colleges and Universities in Jiangsu Province 21KJB140016
6 · The paper itself

Abstract

Charge scaling as an effective solution to the experiment-computation disagreement in molecular modelling of ionic liquids (ILs) could bring the computational results close to the experimental reference for various thermodynamic properties. According to the large-scale benchmark calculations of mass density, solvation, and water-ILs transfer-free energies in our series of papers, the charge-scaling factor of 0.8 serves as a near-optimal option generally applicable to most ILs, although a system-dependent parameter adjustment could be attempted for further improved performance. However, there are situations in which such a charge-scaling treatment would fail. Namely, charge scaling cannot really affect the simulation outcome, or minimally perturbs the results that are still far from the experimental value. In such situations, the vdW radius as an additional adjustable parameter is commonly tuned to minimize the experiment-calculation deviation. In the current work, considering two ILs from the quinuclidinium family, we investigate the impacts of this vdW-scaling treatment on the mass density and the solvation/partition thermodynamics in a fashion similar to our previous charge-scaling works, i.e., scanning the vdW-scaling factor and computing physical properties under these parameter sets. It is observed that the mass density exhibits a linear response to the vdW-scaling factor with slopes close to -1.8 g/mL. By further investigating a set of physiochemically relevant temperatures between 288 K and 348 K, we confirm the robustness of the vdW-scaling treatment in the estimation of bulk properties. The best vdW-scaling parameter for mass density would worsen the computation of solvation/partition thermodynamics, and a marginal decrease in the vdW-scaling factor is considered as an intermediate option balancing the reproductions of bulk properties and solvation thermodynamics. These observations could be understood in a way similar to the charge-scaling situation. i.e., overfitting some properties (e.g., mass density) would degrade the accuracy of the other properties (e.g., solvation free energies). Following this principle, the general guideline for applying this vdW-tuning protocol is by using values between the density-derived choice and the solvation/partition-derived solution. The charge and current vdW scaling treatments cover commonly encountered ILs, completing the protocol for accurate modelling of ILs with fixed-charge force fields.

Indexed as

force fieldionic liquidspartition coefficientquinuclidiniumvdW scaling

Identifiers

PMID36677859
PMCPMC9865557
OpenAlexW4316039602

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.