Changes
On December 16, 2024 at 11:52:46 PM UTC, admin:
-
Changed value of field
doi_status
toTrue
in Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media -
Changed value of field
doi_date_published
to2024-12-16
in Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media -
Added resource Original Metadata to Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media
f | 1 | { | f | 1 | { |
2 | "access_rights": "", | 2 | "access_rights": "", | ||
3 | "author": "Danial Aminia", | 3 | "author": "Danial Aminia", | ||
4 | "author_email": "", | 4 | "author_email": "", | ||
5 | "citation": [], | 5 | "citation": [], | ||
6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 6 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
7 | "defined_in": "https://doi.org/10.1061/(ASCE)EM.1943-7889.0002156", | 7 | "defined_in": "https://doi.org/10.1061/(ASCE)EM.1943-7889.0002156", | ||
8 | "doi": "10.57702/cu8u2thl", | 8 | "doi": "10.57702/cu8u2thl", | ||
n | 9 | "doi_date_published": null, | n | 9 | "doi_date_published": "2024-12-16", |
10 | "doi_publisher": "TIB", | 10 | "doi_publisher": "TIB", | ||
n | 11 | "doi_status": false, | n | 11 | "doi_status": true, |
12 | "domain": "https://service.tib.eu/ldmservice", | 12 | "domain": "https://service.tib.eu/ldmservice", | ||
13 | "extra_authors": [ | 13 | "extra_authors": [ | ||
14 | { | 14 | { | ||
15 | "extra_author": "Ehsan Haghighat", | 15 | "extra_author": "Ehsan Haghighat", | ||
16 | "orcid": "" | 16 | "orcid": "" | ||
17 | }, | 17 | }, | ||
18 | { | 18 | { | ||
19 | "extra_author": "Ruben Juanes", | 19 | "extra_author": "Ruben Juanes", | ||
20 | "orcid": "" | 20 | "orcid": "" | ||
21 | } | 21 | } | ||
22 | ], | 22 | ], | ||
23 | "groups": [ | 23 | "groups": [ | ||
24 | { | 24 | { | ||
25 | "description": "", | 25 | "description": "", | ||
26 | "display_name": "Deep Learning", | 26 | "display_name": "Deep Learning", | ||
27 | "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922", | 27 | "id": "d2734132-7098-4cc5-9f4c-5f9b6e1d7922", | ||
28 | "image_display_url": "", | 28 | "image_display_url": "", | ||
29 | "name": "deep-learning", | 29 | "name": "deep-learning", | ||
30 | "title": "Deep Learning" | 30 | "title": "Deep Learning" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "description": "", | 33 | "description": "", | ||
34 | "display_name": "Porous Media", | 34 | "display_name": "Porous Media", | ||
35 | "id": "2b84686a-0107-4b71-8467-605747bf33d8", | 35 | "id": "2b84686a-0107-4b71-8467-605747bf33d8", | ||
36 | "image_display_url": "", | 36 | "image_display_url": "", | ||
37 | "name": "porous-media", | 37 | "name": "porous-media", | ||
38 | "title": "Porous Media" | 38 | "title": "Porous Media" | ||
39 | } | 39 | } | ||
40 | ], | 40 | ], | ||
41 | "id": "8a137e19-2f4a-4170-9498-c70638d94642", | 41 | "id": "8a137e19-2f4a-4170-9498-c70638d94642", | ||
42 | "isopen": false, | 42 | "isopen": false, | ||
43 | "landing_page": "", | 43 | "landing_page": "", | ||
44 | "license_title": null, | 44 | "license_title": null, | ||
45 | "link_orkg": "", | 45 | "link_orkg": "", | ||
46 | "metadata_created": "2024-12-16T23:52:44.675019", | 46 | "metadata_created": "2024-12-16T23:52:44.675019", | ||
n | 47 | "metadata_modified": "2024-12-16T23:52:44.675026", | n | 47 | "metadata_modified": "2024-12-16T23:52:45.246001", |
48 | "name": | 48 | "name": | ||
49 | -solution-of-thermo-hydro-mechanical--thm--processes-in-porous-media", | 49 | -solution-of-thermo-hydro-mechanical--thm--processes-in-porous-media", | ||
50 | "notes": "Physics-Informed Neural Networks (PINNs) have received | 50 | "notes": "Physics-Informed Neural Networks (PINNs) have received | ||
51 | increased interest for forward, inverse, and surrogate modeling of | 51 | increased interest for forward, inverse, and surrogate modeling of | ||
52 | problems described by partial differential equations (PDE).", | 52 | problems described by partial differential equations (PDE).", | ||
n | 53 | "num_resources": 0, | n | 53 | "num_resources": 1, |
54 | "num_tags": 7, | 54 | "num_tags": 7, | ||
55 | "organization": { | 55 | "organization": { | ||
56 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
57 | "created": "2024-11-25T12:11:38.292601", | 57 | "created": "2024-11-25T12:11:38.292601", | ||
58 | "description": "", | 58 | "description": "", | ||
59 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 59 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
60 | "image_url": "", | 60 | "image_url": "", | ||
61 | "is_organization": true, | 61 | "is_organization": true, | ||
62 | "name": "no-organization", | 62 | "name": "no-organization", | ||
63 | "state": "active", | 63 | "state": "active", | ||
64 | "title": "No Organization", | 64 | "title": "No Organization", | ||
65 | "type": "organization" | 65 | "type": "organization" | ||
66 | }, | 66 | }, | ||
67 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 67 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
68 | "private": false, | 68 | "private": false, | ||
69 | "relationships_as_object": [], | 69 | "relationships_as_object": [], | ||
70 | "relationships_as_subject": [], | 70 | "relationships_as_subject": [], | ||
t | 71 | "resources": [], | t | 71 | "resources": [ |
72 | { | ||||
73 | "cache_last_updated": null, | ||||
74 | "cache_url": null, | ||||
75 | "created": "2024-12-16T23:37:13", | ||||
76 | "data": [ | ||||
77 | "dcterms:title", | ||||
78 | "dcterms:accessRights", | ||||
79 | "dcterms:creator", | ||||
80 | "dcterms:description", | ||||
81 | "dcterms:issued", | ||||
82 | "dcterms:language", | ||||
83 | "dcterms:identifier", | ||||
84 | "dcat:theme", | ||||
85 | "dcterms:type", | ||||
86 | "dcat:keyword", | ||||
87 | "dcat:landingPage", | ||||
88 | "dcterms:hasVersion", | ||||
89 | "dcterms:format", | ||||
90 | "mls:task", | ||||
91 | "datacite:isDescribedBy" | ||||
92 | ], | ||||
93 | "description": "The json representation of the dataset with its | ||||
94 | distributions based on DCAT.", | ||||
95 | "format": "JSON", | ||||
96 | "hash": "", | ||||
97 | "id": "a73d25d3-525c-4219-ad63-6ac2bef5bf3b", | ||||
98 | "last_modified": "2024-12-16T23:52:45.237833", | ||||
99 | "metadata_modified": "2024-12-16T23:52:45.248900", | ||||
100 | "mimetype": "application/json", | ||||
101 | "mimetype_inner": null, | ||||
102 | "name": "Original Metadata", | ||||
103 | "package_id": "8a137e19-2f4a-4170-9498-c70638d94642", | ||||
104 | "position": 0, | ||||
105 | "resource_type": null, | ||||
106 | "size": 1006, | ||||
107 | "state": "active", | ||||
108 | "url": | ||||
109 | resource/a73d25d3-525c-4219-ad63-6ac2bef5bf3b/download/metadata.json", | ||||
110 | "url_type": "upload" | ||||
111 | } | ||||
112 | ], | ||||
72 | "services_used_list": "", | 113 | "services_used_list": "", | ||
73 | "state": "active", | 114 | "state": "active", | ||
74 | "tags": [ | 115 | "tags": [ | ||
75 | { | 116 | { | ||
76 | "display_name": "deep learning", | 117 | "display_name": "deep learning", | ||
77 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | 118 | "id": "19e41883-3799-4184-9e0e-26c95795b119", | ||
78 | "name": "deep learning", | 119 | "name": "deep learning", | ||
79 | "state": "active", | 120 | "state": "active", | ||
80 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
81 | }, | 122 | }, | ||
82 | { | 123 | { | ||
83 | "display_name": "multiphysics", | 124 | "display_name": "multiphysics", | ||
84 | "id": "c3509c7d-96c0-47ae-835b-5d8f64bf8ddc", | 125 | "id": "c3509c7d-96c0-47ae-835b-5d8f64bf8ddc", | ||
85 | "name": "multiphysics", | 126 | "name": "multiphysics", | ||
86 | "state": "active", | 127 | "state": "active", | ||
87 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
88 | }, | 129 | }, | ||
89 | { | 130 | { | ||
90 | "display_name": "porous media", | 131 | "display_name": "porous media", | ||
91 | "id": "a7c495f3-6249-4915-adb2-ae9bb70580a2", | 132 | "id": "a7c495f3-6249-4915-adb2-ae9bb70580a2", | ||
92 | "name": "porous media", | 133 | "name": "porous media", | ||
93 | "state": "active", | 134 | "state": "active", | ||
94 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
95 | }, | 136 | }, | ||
96 | { | 137 | { | ||
97 | "display_name": "question answering", | 138 | "display_name": "question answering", | ||
98 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | 139 | "id": "d4e35d0b-ca07-4d05-bb27-50b2f30f2f00", | ||
99 | "name": "question answering", | 140 | "name": "question answering", | ||
100 | "state": "active", | 141 | "state": "active", | ||
101 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
102 | }, | 143 | }, | ||
103 | { | 144 | { | ||
104 | "display_name": "single entity", | 145 | "display_name": "single entity", | ||
105 | "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168", | 146 | "id": "96a6dc93-4c5c-41bd-a3de-4c6eb347e168", | ||
106 | "name": "single entity", | 147 | "name": "single entity", | ||
107 | "state": "active", | 148 | "state": "active", | ||
108 | "vocabulary_id": null | 149 | "vocabulary_id": null | ||
109 | }, | 150 | }, | ||
110 | { | 151 | { | ||
111 | "display_name": "single relation", | 152 | "display_name": "single relation", | ||
112 | "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab", | 153 | "id": "f4b0bddd-8fab-44fb-8f93-1a8aea1a23ab", | ||
113 | "name": "single relation", | 154 | "name": "single relation", | ||
114 | "state": "active", | 155 | "state": "active", | ||
115 | "vocabulary_id": null | 156 | "vocabulary_id": null | ||
116 | }, | 157 | }, | ||
117 | { | 158 | { | ||
118 | "display_name": "thermo-hydro-mechanical", | 159 | "display_name": "thermo-hydro-mechanical", | ||
119 | "id": "90d5313a-8277-4b0b-9b92-140c0197ecb6", | 160 | "id": "90d5313a-8277-4b0b-9b92-140c0197ecb6", | ||
120 | "name": "thermo-hydro-mechanical", | 161 | "name": "thermo-hydro-mechanical", | ||
121 | "state": "active", | 162 | "state": "active", | ||
122 | "vocabulary_id": null | 163 | "vocabulary_id": null | ||
123 | } | 164 | } | ||
124 | ], | 165 | ], | ||
125 | "title": "Physics-informed neural network solution of | 166 | "title": "Physics-informed neural network solution of | ||
126 | thermo-hydro-mechanical (THM) processes in porous media", | 167 | thermo-hydro-mechanical (THM) processes in porous media", | ||
127 | "type": "dataset", | 168 | "type": "dataset", | ||
128 | "version": "" | 169 | "version": "" | ||
129 | } | 170 | } |