Evidence map›Paper›PMID 35054840›Full record

ReviewInternational journal of molecular sciences2022

Computer Simulations of Deep Eutectic Solvents: Challenges, Solutions, and Perspectives.

Dmitry Tolmachev, Natalia Lukasheva, Ruslan Ramazanov, Victor Nazarychev, Natalia Borzdun, Igor Volgin, Maria Andreeva, Artyom Glova, Sofia Melnikova, Alexey Dobrovskiy and 6 more

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

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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

16 authors.

Dmitry TolmachevInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0002-9699-100X
Natalia LukashevaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.
Ruslan RamazanovInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.
Victor NazarychevInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0003-2448-8584
Natalia BorzdunInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0001-8245-8872
Igor VolginInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0001-8739-3772
Maria AndreevaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.
Artyom GlovaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.
Sofia MelnikovaInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.
Alexey DobrovskiyInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.
Steven A SilberDepartment of Physics and Astronomy, The University of Western Ontario, 1151 Richmond Street, London, ON N6A 5B7, Canada.
Sergey LarinInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0002-1570-9333
Rafael Maglia de SouzaDepartamento de Química Fundamental, Instituto de Química, Universidade de São Paulo, Avenida Professor Lineu Prestes 748, São Paulo 05508-070, Brazil.ORCID 0000-0001-6272-9233
Mauro Carlos Costa RibeiroDepartamento de Química Fundamental, Instituto de Química, Universidade de São Paulo, Avenida Professor Lineu Prestes 748, São Paulo 05508-070, Brazil.
Sergey LyulinInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0002-3743-4457
Mikko KarttunenInstitute of Macromolecular Compounds, Russian Academy of Sciences, Bolshoy pr. 31, 199004 St. Petersburg, Russia.ORCID 0000-0002-8626-3033

Funding

The Ministry of Education and Science of the Russian Federation 075-15-2021-954 dated 23.09.21The São Paulo Research Foundation 2020/06766-9 and 2016/21070-5
6 · The paper itself

Abstract

Deep eutectic solvents (DESs) are one of the most rapidly evolving types of solvents, appearing in a broad range of applications, such as nanotechnology, electrochemistry, biomass transformation, pharmaceuticals, membrane technology, biocomposite development, modern 3D-printing, and many others. The range of their applicability continues to expand, which demands the development of new DESs with improved properties. To do so requires an understanding of the fundamental relationship between the structure and properties of DESs. Computer simulation and machine learning techniques provide a fruitful approach as they can predict and reveal physical mechanisms and readily be linked to experiments. This review is devoted to the computational research of DESs and describes technical features of DES simulations and the corresponding perspectives on various DES applications. The aim is to demonstrate the current frontiers of computational research of DESs and discuss future perspectives.

Indexed as

BiomassDeep Eutectic SolventsDrug IndustryElectrochemistryMachine LearningMolecular Dynamics SimulationNanotechnologyQuantum TheoryDeep Eutectic Solventscomputer simulationdeep eutectic solventsmachine leaningmolecular dynamicsquantum mechanics

Identifiers

PMID35054840
PMCPMC8775846

What OpenQuestion holds

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Registered trials

None linked

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.