{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T15:39:26Z","timestamp":1792597166645,"version":"4.5.0"},"reference-count":18,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T00:00:00Z","timestamp":1577145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Fiber\u2013fiber interaction plays an important role in the evolution of fiber orientation in semi-concentrated suspensions. Flow induced orientation in short-fiber reinforced composites determines the anisotropic properties of manufactured parts and consequently their performances. In the case of dilute suspensions, the orientation evolution can be accurately described by using the Jeffery model; however, as soon as the fiber concentration increases, fiber\u2013fiber interactions cannot be ignored anymore and the final orientation state strongly depends on the modeling of those interactions. First modeling frameworks described these interactions from a diffusion mechanism; however, it was necessary to consider richer descriptions (anisotropic diffusion, etc.) to address experimental observations. Even if different proposals were considered, none of them seem general and accurate enough. In this paper we do not address a new proposal of a fiber interaction model, but a data-driven methodology able to enrich existing models from data, that in our case comes from a direct numerical simulation of well resolved microscopic physics.<\/jats:p>","DOI":"10.3390\/e22010030","type":"journal-article","created":{"date-parts":[[2019,12,24]],"date-time":"2019-12-24T10:28:43Z","timestamp":1577183323000},"page":"30","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Learning the Macroscopic Flow Model of Short Fiber Suspensions from Fine-Scale Simulated Data"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3482-0149","authenticated-orcid":false,"given":"Minyoung","family":"Yun","sequence":"first","affiliation":[{"name":"Processes and Engineering in Mechanics and Materials (PIMM) Laboratory, Arts et M\u00e9tiers Institute of Technology, CNRS, CNAM, 151 Boulevard de l\u2019H\u00f4pital, 75013 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clara","family":"Argerich Martin","sequence":"additional","affiliation":[{"name":"Processes and Engineering in Mechanics and Materials (PIMM) Laboratory, Arts et M\u00e9tiers Institute of Technology, CNRS, CNAM, 151 Boulevard de l\u2019H\u00f4pital, 75013 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre","family":"Giormini","sequence":"additional","affiliation":[{"name":"Processes and Engineering in Mechanics and Materials (PIMM) Laboratory, Arts et M\u00e9tiers Institute of Technology, CNRS, CNAM, 151 Boulevard de l\u2019H\u00f4pital, 75013 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francisco","family":"Chinesta","sequence":"additional","affiliation":[{"name":"Processes and Engineering in Mechanics and Materials (PIMM) Laboratory, Arts et M\u00e9tiers Institute of Technology, CNRS, CNAM, 151 Boulevard de l\u2019H\u00f4pital, 75013 Paris, France"},{"name":"ESI Group chair, Processes and Engineering in Mechanics and Materials (PIMM) Laboratory, Arts et M\u00e9tiers Institute of Technology, 151 Boulevard de l\u2019H\u00f4pital, 75013 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suresh","family":"Advani","sequence":"additional","affiliation":[{"name":"Center for Composite Materials and Department of Mechanical Engineering, University of Delaware, Newark, DE 19716-3119, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Binetruy, C., Chinesta, F., and Keunings, R. 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