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f | 1 | { | f | 1 | { |
2 | "author": "Augenstein, Yannick", | 2 | "author": "Augenstein, Yannick", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/911", | 5 | "doi": "10.35097/911", | ||
6 | "doi_date_published": "2023", | 6 | "doi_date_published": "2023", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "groups": [], | 9 | "groups": [], | ||
10 | "id": "0490a072-e6dc-4bd6-a29e-205f0beabe52", | 10 | "id": "0490a072-e6dc-4bd6-a29e-205f0beabe52", | ||
11 | "isopen": false, | 11 | "isopen": false, | ||
12 | "license_id": "CC BY 4.0 Attribution", | 12 | "license_id": "CC BY 4.0 Attribution", | ||
13 | "license_title": "CC BY 4.0 Attribution", | 13 | "license_title": "CC BY 4.0 Attribution", | ||
14 | "metadata_created": "2023-05-02T07:10:06.915317", | 14 | "metadata_created": "2023-05-02T07:10:06.915317", | ||
n | 15 | "metadata_modified": "2023-05-02T07:10:06.915323", | n | 15 | "metadata_modified": "2023-08-04T08:49:45.866227", |
16 | "name": "rdr-doi-10-35097-911", | 16 | "name": "rdr-doi-10-35097-911", | ||
17 | "notes": "", | 17 | "notes": "", | ||
18 | "num_resources": 0, | 18 | "num_resources": 0, | ||
19 | "num_tags": 3, | 19 | "num_tags": 3, | ||
20 | "orcid": "0000-0002-0045-9407", | 20 | "orcid": "0000-0002-0045-9407", | ||
21 | "organization": { | 21 | "organization": { | ||
22 | "approval_status": "approved", | 22 | "approval_status": "approved", | ||
23 | "created": "2023-01-12T13:30:23.238233", | 23 | "created": "2023-01-12T13:30:23.238233", | ||
24 | "description": "RADAR (Research Data Repository) is a | 24 | "description": "RADAR (Research Data Repository) is a | ||
25 | cross-disciplinary repository for archiving and publishing research | 25 | cross-disciplinary repository for archiving and publishing research | ||
26 | data from completed scientific studies and projects. The focus is on | 26 | data from completed scientific studies and projects. The focus is on | ||
27 | research data from subjects that do not yet have their own | 27 | research data from subjects that do not yet have their own | ||
28 | discipline-specific infrastructures for research data management. ", | 28 | discipline-specific infrastructures for research data management. ", | ||
29 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 29 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
30 | "image_url": "radar-logo.svg", | 30 | "image_url": "radar-logo.svg", | ||
31 | "is_organization": true, | 31 | "is_organization": true, | ||
32 | "name": "radar", | 32 | "name": "radar", | ||
33 | "state": "active", | 33 | "state": "active", | ||
34 | "title": "RADAR", | 34 | "title": "RADAR", | ||
35 | "type": "organization" | 35 | "type": "organization" | ||
36 | }, | 36 | }, | ||
37 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 37 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
38 | "private": false, | 38 | "private": false, | ||
39 | "production_year": "2023", | 39 | "production_year": "2023", | ||
40 | "publication_year": "2023", | 40 | "publication_year": "2023", | ||
41 | "publishers": [ | 41 | "publishers": [ | ||
42 | { | 42 | { | ||
43 | "publisher": "Augenstein, Yannick" | 43 | "publisher": "Augenstein, Yannick" | ||
44 | } | 44 | } | ||
45 | ], | 45 | ], | ||
n | n | 46 | "related_identifiers": [ | ||
47 | { | ||||
48 | "identifier": "10.48550/arXiv.2302.01934", | ||||
49 | "identifier_type": "DOI", | ||||
50 | "relation_type": "IsSupplementTo" | ||||
51 | }, | ||||
52 | { | ||||
53 | "identifier": "https://github.com/tfp-photonics/neurop_invdes", | ||||
54 | "identifier_type": "URL", | ||||
55 | "relation_type": "IsRequiredBy" | ||||
56 | } | ||||
57 | ], | ||||
46 | "relationships_as_object": [], | 58 | "relationships_as_object": [], | ||
47 | "relationships_as_subject": [], | 59 | "relationships_as_subject": [], | ||
48 | "repository_name": "RADAR (Research Data Repository)", | 60 | "repository_name": "RADAR (Research Data Repository)", | ||
49 | "resources": [], | 61 | "resources": [], | ||
t | t | 62 | "services_used_list": "", | ||
50 | "source_metadata_created": "2023", | 63 | "source_metadata_created": "2023", | ||
51 | "source_metadata_modified": "", | 64 | "source_metadata_modified": "", | ||
52 | "state": "active", | 65 | "state": "active", | ||
53 | "subject_areas": [ | 66 | "subject_areas": [ | ||
54 | { | 67 | { | ||
55 | "subject_area_additional": "", | 68 | "subject_area_additional": "", | ||
56 | "subject_area_name": "Physics" | 69 | "subject_area_name": "Physics" | ||
57 | } | 70 | } | ||
58 | ], | 71 | ], | ||
59 | "tags": [ | 72 | "tags": [ | ||
60 | { | 73 | { | ||
61 | "display_name": "inverse design", | 74 | "display_name": "inverse design", | ||
62 | "id": "d39dc22e-b627-49b9-8f29-2d561a7be371", | 75 | "id": "d39dc22e-b627-49b9-8f29-2d561a7be371", | ||
63 | "name": "inverse design", | 76 | "name": "inverse design", | ||
64 | "state": "active", | 77 | "state": "active", | ||
65 | "vocabulary_id": null | 78 | "vocabulary_id": null | ||
66 | }, | 79 | }, | ||
67 | { | 80 | { | ||
68 | "display_name": "machine learning", | 81 | "display_name": "machine learning", | ||
69 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 82 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
70 | "name": "machine learning", | 83 | "name": "machine learning", | ||
71 | "state": "active", | 84 | "state": "active", | ||
72 | "vocabulary_id": null | 85 | "vocabulary_id": null | ||
73 | }, | 86 | }, | ||
74 | { | 87 | { | ||
75 | "display_name": "nanophotonics", | 88 | "display_name": "nanophotonics", | ||
76 | "id": "1e3be403-6acd-46a5-9cff-affc22b63d20", | 89 | "id": "1e3be403-6acd-46a5-9cff-affc22b63d20", | ||
77 | "name": "nanophotonics", | 90 | "name": "nanophotonics", | ||
78 | "state": "active", | 91 | "state": "active", | ||
79 | "vocabulary_id": null | 92 | "vocabulary_id": null | ||
80 | } | 93 | } | ||
81 | ], | 94 | ], | ||
82 | "title": "A neural operator-based surrogate solver for free-form | 95 | "title": "A neural operator-based surrogate solver for free-form | ||
83 | electromagnetic inverse design", | 96 | electromagnetic inverse design", | ||
84 | "type": "vdataset", | 97 | "type": "vdataset", | ||
85 | "url": "https://doi.org/10.35097/911" | 98 | "url": "https://doi.org/10.35097/911" | ||
86 | } | 99 | } |