Promene

              
    

          
          
        
        

            
f
1
{
f
1
{
            
2
  "author": "",
2
  "author": "",
            
3
  "author_email": "",
3
  "author_email": "",
            
4
  "creator_user_id": "3ec92acb-9689-4cd8-95b4-60e21a7eb422",
4
  "creator_user_id": "3ec92acb-9689-4cd8-95b4-60e21a7eb422",
            
5
  "extras": [],
5
  "extras": [],
            
6
  "groups": [],
6
  "groups": [],
            
7
  "id": "7a8402c2-34f2-49c2-81cb-5ac6983a16e3",
7
  "id": "7a8402c2-34f2-49c2-81cb-5ac6983a16e3",
            
8
  "isopen": false,
8
  "isopen": false,
            
9
  "license_id": "",
9
  "license_id": "",
            
10
  "license_title": "",
10
  "license_title": "",
            
11
  "maintainer": "",
11
  "maintainer": "",
            
12
  "maintainer_email": "",
12
  "maintainer_email": "",
            
13
  "metadata_created": "2023-03-21T09:58:24.817814",
13
  "metadata_created": "2023-03-21T09:58:24.817814",
            
n
14
  "metadata_modified": "2023-03-21T09:58:25.290848",
n
14
  "metadata_modified": "2023-03-21T09:59:22.450537",
            
15
  "name": "accelerating-materials-discovery",
15
  "name": "accelerating-materials-discovery",
            
16
  "notes": "Computational materials discovery involves searching vast 
16
  "notes": "Computational materials discovery involves searching vast 
            
17
material spaces for potential candidates that have the optimal 
17
material spaces for potential candidates that have the optimal 
            
18
combination of suitable properties for target applications. High 
18
combination of suitable properties for target applications. High 
            
19
fidelity predictions are required to make meaningful predictions, so 
19
fidelity predictions are required to make meaningful predictions, so 
            
20
navigating a material space containing tens or hundreds of thousands 
20
navigating a material space containing tens or hundreds of thousands 
            
21
of materials is a significant challenge. A tool that can help navigate 
21
of materials is a significant challenge. A tool that can help navigate 
            
22
through a maze of candidate materials will help accelerate the 
22
through a maze of candidate materials will help accelerate the 
            
23
discovery process.",
23
discovery process.",
            
n
24
  "num_resources": 0,
n
24
  "num_resources": 1,
            
25
  "num_tags": 0,
25
  "num_tags": 0,
            
26
  "organization": {
26
  "organization": {
            
27
    "approval_status": "approved",
27
    "approval_status": "approved",
            
28
    "created": "2023-03-06T13:28:41.878531",
28
    "created": "2023-03-06T13:28:41.878531",
            
29
    "description": "",
29
    "description": "",
            
30
    "id": "5fc9c47f-158f-4af6-91d8-4d9175e8e1b8",
30
    "id": "5fc9c47f-158f-4af6-91d8-4d9175e8e1b8",
            
31
    "image_url": "",
31
    "image_url": "",
            
32
    "is_organization": true,
32
    "is_organization": true,
            
33
    "name": "stfc---hartree-centre",
33
    "name": "stfc---hartree-centre",
            
34
    "state": "active",
34
    "state": "active",
            
35
    "title": "STFC - Hartree Centre",
35
    "title": "STFC - Hartree Centre",
            
36
    "type": "organization"
36
    "type": "organization"
            
37
  },
37
  },
            
38
  "owner_org": "5fc9c47f-158f-4af6-91d8-4d9175e8e1b8",
38
  "owner_org": "5fc9c47f-158f-4af6-91d8-4d9175e8e1b8",
            
39
  "private": false,
39
  "private": false,
            
40
  "relationships_as_object": [],
40
  "relationships_as_object": [],
            
41
  "relationships_as_subject": [],
41
  "relationships_as_subject": [],
            
t
42
  "resources": [],
t
42
  "resources": [
            
43
    {
            
44
      "cache_last_updated": null,
            
45
      "cache_url": null,
            
46
      "created": "2023-03-21T09:59:22.462159",
            
47
      "datastore_active": false,
            
48
      "description": "",
            
49
      "format": "PDF",
            
50
      "hash": "",
            
51
      "id": "a7469d59-a7a6-4133-9399-83bc1c6ea39e",
            
52
      "last_modified": "2023-03-21T09:59:22.442150",
            
53
      "metadata_modified": "2023-03-21T09:59:22.456435",
            
54
      "mimetype": "application/pdf",
            
55
      "mimetype_inner": null,
            
56
      "name": "Accelerating-materials-discovery-Case-Study.pdf",
            
57
      "package_id": "7a8402c2-34f2-49c2-81cb-5ac6983a16e3",
            
58
      "position": 0,
            
59
      "resource_type": null,
            
60
      "size": 1450911,
            
61
      "state": "active",
            
62
      "tags": "Method-Machine_learning",
            
63
      "url": 
            
64
3bc1c6ea39e/download/accelerating-materials-discovery-case-study.pdf",
            
65
      "url_type": "upload"
            
66
    }
            
67
  ],
            
43
  "state": "draft",
68
  "state": "draft",
            
44
  "tags": [],
69
  "tags": [],
            
45
  "title": "Accelerating materials discovery",
70
  "title": "Accelerating materials discovery",
            
46
  "type": "dataset",
71
  "type": "dataset",
            
47
  "url": 
72
  "url": 
            
48
blications/case-studies/2022/11/07/accelerating-materials-discovery/",
73
blications/case-studies/2022/11/07/accelerating-materials-discovery/",
            
49
  "version": ""
74
  "version": ""
            
50
}
75
}