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  "author": "Jan-Hendrik Bastek",
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  "author": "Jan-Hendrik Bastek",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1901.04859"
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    "https://doi.org/10.48550/arXiv.1901.04859"
            
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  ],
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  "doi": "10.57702/rvsjleq1",
            
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  "doi_date_published": null,
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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": "WaiChing Sun",
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      "extra_author": "WaiChing Sun",
            
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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": "Dennis M. Kochmann",
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      "extra_author": "Dennis M. Kochmann",
            
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      "orcid": ""
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      "orcid": ""
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Topology Optimization",
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      "display_name": "Topology Optimization",
            
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      "name": "topology-optimization",
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      "name": "topology-optimization",
            
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      "title": "Topology Optimization"
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      "title": "Topology Optimization"
            
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  "metadata_modified": "2024-12-16T18:35:16.195527",
            
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  "name": "simp-dataset",
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  "name": "simp-dataset",
            
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  "notes": "A conventional SIMP model topology optimization algorithm 
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  "notes": "A conventional SIMP model topology optimization algorithm 
            
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is used to generate dataset in MATLAB. A dataset of 3024 samples was 
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is used to generate dataset in MATLAB. A dataset of 3024 samples was 
            
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generated using volume fraction (vol_frac), penalty (penal) and radius 
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generated using volume fraction (vol_frac), penalty (penal) and radius 
            
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of the smoothening filter (rmin) as design variables.",
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of the smoothening filter (rmin) as design variables.",
            
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    "approval_status": "approved",
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      "created": "2024-12-16T18:25:35",
            
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  "title": "SIMP Dataset",
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}
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}