Aggregation Organic Molecule as a Nanocluster in Mixture Solvents

preprint OA: closed
Full text JSON View at publisher
AI-generated summary by claude@2026-07, 2026-07-14

Density functional theory and molecular dynamics simulations parameterized Asphaltene nanocluster diffusion in Toluene/DMSO, finding subdiffusive motion and a cluster size of 2.7 nm consistent with experiments.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

AI-generated deep summary by claude@2026-07, 2026-07-14 · read from full text

The paper uses density functional theory to parameterize point-charge distributions in asphaltene (an organic fossil-fuel) structures, then performs molecular dynamics simulations (with the DFT-based parametrization combined with the OPLS force field) to study self-diffusion of colloidal asphaltene aggregates in mixtures of toluene and DMSO. The simulations show a subdiffusive motion regime for the asphaltene core in these solvents, and the asphaltene density predicted under the DFT-based approach matches available experimental data. The modeled asphaltene nanocluster size in the mixture solvent is about 2.7 nm, also reported as consistent with experimental findings. This paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

Abstract Density functional theory (DFT) has been employed to parameterize the point charge distribution in Organic Molecule in fossil fuel (Asphaltene) structures for studying cluster-cluster aggregation in a mixture of Toluene and Dimethyl sulfoxide (DMSO) solvents. To explore the self-diffusion coefficient of the colloidal Asphaltene aggregates in DMSO and Toluene solvents, molecular dynamics simulations were performed using the DFT-based potential parametrization in conjunction with the OPLS force field. Results of diffusion regime regarding Asphaltene core in mixture mentioned solvents based on DFT potential parametrization and OPLS potential show one subdiffusive motion. Furthermore, the density of Asphaltene molecules, as determined by molecular dynamics simulations using the DFT-based potential parametrization, is consistent with available experimental data. The results of the molecular dynamics simulations, employing the DFT potential parametrization, indicate that the size of the Asphaltene nanoclusters in the mixture solvent is approximately 2.7 nm, in agreement with experimental findings.
Full text 9,724 characters · extracted from preprint-html · click to expand
Aggregation Organic Molecule as a Nanocluster in Mixture Solvents | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Aggregation Organic Molecule as a Nanocluster in Mixture Solvents Farid Taherkhani This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6494071/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Density functional theory (DFT) has been employed to parameterize the point charge distribution in Organic Molecule in fossil fuel (Asphaltene) structures for studying cluster-cluster aggregation in a mixture of Toluene and Dimethyl sulfoxide (DMSO) solvents. To explore the self-diffusion coefficient of the colloidal Asphaltene aggregates in DMSO and Toluene solvents, molecular dynamics simulations were performed using the DFT-based potential parametrization in conjunction with the OPLS force field. Results of diffusion regime regarding Asphaltene core in mixture mentioned solvents based on DFT potential parametrization and OPLS potential show one subdiffusive motion. Furthermore, the density of Asphaltene molecules, as determined by molecular dynamics simulations using the DFT-based potential parametrization, is consistent with available experimental data. The results of the molecular dynamics simulations, employing the DFT potential parametrization, indicate that the size of the Asphaltene nanoclusters in the mixture solvent is approximately 2.7 nm, in agreement with experimental findings. Aggregation Organic Molecule Diffusion Regime DMSO and Toluene Solvents DFT Potential Parametrization Full Text Supplementary Files SupportingInformationSubmit.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6494071","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":449917001,"identity":"143433c0-6c3f-4618-b4bf-3cdd62551166","order_by":0,"name":"Farid Taherkhani","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABEElEQVRIiWNgGAWjYBAC9gYGhgM8DAwJDAxsbEC+hBxI9MADPFp4DoC0JCC0GIO1JBDQwoCkhSGxAUTi1cJ+9uGBtz/s8vilj6U9+LnDIn1+2OGHQFvs5HQbcGjhSTc4OCchuViyL+24Ye8ZidyNt9MMgFqSjc0OYNdiz5DGcJgngTlxwxn2NgneNqCW2QkgLQcSt+HQwsP/DKSlPnE/UIvk3zaJdMPZ6R/wa5EA23I4cQMP2zFpoC0J8tI5BGyReMZwcE7a8cQZZ9jSpGXbJAw3SOcUHEgwwO0XHv405g9vbKoT+3vYzCTfttXJy89O3/zhQ4WdHC4tmMAArNKAWOUgIN9AiupRMApGwSgYCQAARhZgVLQsJqUAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0003-2433-4964","institution":"BTU Cottbus: Brandenburgische Technische Universitat Cottbus-Senftenberg","correspondingAuthor":true,"prefix":"","firstName":"Farid","middleName":"","lastName":"Taherkhani","suffix":""}],"badges":[],"createdAt":"2025-04-21 08:27:58","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6494071/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6494071/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85155677,"identity":"b437984e-a629-4682-9ce6-62d894d3efbe","added_by":"auto","created_at":"2025-06-22 19:30:42","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1404840,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6494071/v1_covered_c541ffea-b73a-48b5-b269-453b3c8aeb01.pdf"},{"id":82001028,"identity":"20145c1f-8215-46a1-acab-5a682e8018d1","added_by":"auto","created_at":"2025-05-05 19:40:01","extension":"docx","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":2939758,"visible":true,"origin":"","legend":"","description":"","filename":"SupportingInformationSubmit.docx","url":"https://assets-eu.researchsquare.com/files/rs-6494071/v1/cedbf1a78976470405b63974.docx"}],"financialInterests":"","formattedTitle":"Aggregation Organic Molecule as a Nanocluster in Mixture Solvents","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Aggregation Organic Molecule, Diffusion Regime, DMSO and Toluene Solvents, DFT Potential Parametrization","lastPublishedDoi":"10.21203/rs.3.rs-6494071/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6494071/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eDensity functional theory (DFT) has been employed to parameterize the point charge distribution in Organic Molecule in fossil fuel (Asphaltene) structures for studying cluster-cluster aggregation in a mixture of Toluene and Dimethyl sulfoxide (DMSO) solvents. To explore the self-diffusion coefficient of the colloidal Asphaltene aggregates in DMSO and Toluene solvents, molecular dynamics simulations were performed using the DFT-based potential parametrization in conjunction with the OPLS force field. Results of diffusion regime regarding Asphaltene core in mixture mentioned solvents based on DFT potential parametrization and OPLS potential show one subdiffusive motion. Furthermore, the density of Asphaltene molecules, as determined by molecular dynamics simulations using the DFT-based potential parametrization, is consistent with available experimental data. The results of the molecular dynamics simulations, employing the DFT potential parametrization, indicate that the size of the Asphaltene nanoclusters in the mixture solvent is approximately 2.7 nm, in agreement with experimental findings.\u003c/p\u003e","manuscriptTitle":"Aggregation Organic Molecule as a Nanocluster in Mixture Solvents","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-05 19:39:55","doi":"10.21203/rs.3.rs-6494071/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"5e4ab224-3b39-483f-b56e-30df9cb1d1eb","owner":[],"postedDate":"May 5th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-06-22T19:22:34+00:00","versionOfRecord":[],"versionCreatedAt":"2025-05-05 19:39:55","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6494071","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6494071","identity":"rs-6494071","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: preprint-html

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00