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  "access_rights": "",
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  "author": "Riccardo Balin",
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  "author": "Riccardo Balin",
            
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  "author_email": "",
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  "citation": [],
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  "defined_in": "https://doi.org/10.48550/arXiv.2306.12900",
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  "defined_in": "https://doi.org/10.48550/arXiv.2306.12900",
            
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  "doi": "10.57702/h0jq94vp",
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  "doi": "10.57702/h0jq94vp",
            
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  "doi_date_published": "2024-12-16",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Andrew Shao",
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      "extra_author": "Andrew Shao",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Stephen Becker",
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      "extra_author": "Stephen Becker",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Filippo Simini",
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      "extra_author": "Filippo Simini",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Alessandro Rigazzi",
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      "extra_author": "Alessandro Rigazzi",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Alireza Doostan",
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      "extra_author": "Alireza Doostan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Kenneth E. Jansen",
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      "extra_author": "Kenneth E. Jansen",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Cooper Simpson",
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      "extra_author": "Cooper Simpson",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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      "extra_author": "Matthew Ellis",
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      "extra_author": "Matthew Ellis",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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      "extra_author": "John A. Evans",
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      "extra_author": "John A. Evans",
            
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      "orcid": ""
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      "orcid": ""
            
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      "title": "High-Performance Computing"
            
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      "name": "machine-learning",
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  "name": 
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for-coupling-simulation-and-machine-learning-with-application-to-cfd",
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for-coupling-simulation-and-machine-learning-with-application-to-cfd",
            
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  "notes": "Recent years have seen many successful applications of 
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  "notes": "Recent years have seen many successful applications of 
            
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machine learning (ML) to facilitate fluid dynamic computations. As 
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machine learning (ML) to facilitate fluid dynamic computations. As 
            
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simulations grow, generating new training datasets for traditional 
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simulations grow, generating new training datasets for traditional 
            
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offline learning creates I/O and storage bottlenecks. Additionally, 
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offline learning creates I/O and storage bottlenecks. Additionally, 
            
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performing inference at runtime requires non-trivial coupling of ML 
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performing inference at runtime requires non-trivial coupling of ML 
            
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framework libraries with simulation codes.",
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framework libraries with simulation codes.",
            
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      "display_name": "Inference",
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      "display_name": "Inference",
            
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      "id": "77fb7135-3eab-4802-ba83-93604349dfec",
            
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      "name": "Inference",
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      "name": "Inference",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    {
            
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      "display_name": "ML",
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      "display_name": "ML",
            
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      "id": "27739c8a-6191-4948-8cdc-15b2b02e58db",
            
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      "name": "ML",
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      "name": "ML",
            
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    }
            
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  ],
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  ],
            
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  "title": "In Situ Framework for Coupling Simulation and Machine 
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  "title": "In Situ Framework for Coupling Simulation and Machine 
            
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Learning with Application to CFD",
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Learning with Application to CFD",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}