Nov. 27, 2023, 2:13 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 20, 2023, 2:03 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 13, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
Nov. 6, 2023, 1:31 p.m. |
Added
35
|
{"external_links": []}
|
|
Aug. 14, 2023, 1:31 p.m. |
Added
35
|
{"external_links": []}
|
|
Aug. 7, 2023, 1:32 p.m. |
Added
35
|
{"external_links": []}
|
|
July 31, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
July 24, 2023, 1:36 p.m. |
Added
35
|
{"external_links": []}
|
|
July 17, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
July 10, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
July 3, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
June 26, 2023, 1:26 p.m. |
Added
35
|
{"external_links": []}
|
|
June 19, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
June 12, 2023, 1:30 p.m. |
Added
35
|
{"external_links": []}
|
|
June 5, 2023, 1:34 p.m. |
Added
35
|
{"external_links": []}
|
|
May 29, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
May 22, 2023, 1:29 p.m. |
Added
35
|
{"external_links": []}
|
|
May 15, 2023, 1:32 p.m. |
Added
35
|
{"external_links": []}
|
|
May 8, 2023, 1:38 p.m. |
Added
35
|
{"external_links": []}
|
|
May 1, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
April 24, 2023, 1:35 p.m. |
Added
35
|
{"external_links": []}
|
|
April 17, 2023, 1:28 p.m. |
Added
35
|
{"external_links": []}
|
|
April 10, 2023, 1:25 p.m. |
Added
35
|
{"external_links": []}
|
|
April 3, 2023, 1:27 p.m. |
Added
35
|
{"external_links": []}
|
|
Jan. 28, 2023, 11:09 a.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 30406, "fields": {"project": 7630, "organisation": 2, "amount": 522506, "start_date": "2008-11-01", "end_date": "2013-10-31", "raw_data": 48089}}]
|
|
Jan. 28, 2023, 10:52 a.m. |
Added
35
|
{"external_links": []}
|
|
April 11, 2022, 3:48 a.m. |
Created
43
|
[{"model": "core.projectfund", "pk": 22545, "fields": {"project": 7630, "organisation": 2, "amount": 522506, "start_date": "2008-11-01", "end_date": "2013-10-31", "raw_data": 35300}}]
|
|
April 11, 2022, 3:48 a.m. |
Created
41
|
[{"model": "core.projectorganisation", "pk": 85504, "fields": {"project": 7630, "organisation": 60, "role": "LEAD_ORG"}}]
|
|
April 11, 2022, 3:48 a.m. |
Created
40
|
[{"model": "core.projectperson", "pk": 53036, "fields": {"project": 7630, "person": 244, "role": "PI_PER"}}]
|
|
April 11, 2022, 1:48 a.m. |
Updated
35
|
{"title": ["", "Modelling of Advanced Functional Materials using Terascale Computing"], "description": ["", "\nHigh Performance Computing offers exciting opportunities in understanding, developing and increasingly predicting the properties of complex materials; and there will be a step change in these opportunities with the advent of the HECToR facility. This proposal will build on the expertise in the UK Materials Chemistry Consortium in order to exploit this world leading facility in a wide-ranging programme of research in the chemistry and physics of functional materials, i.e. materials that have important properties and applications. The project will have seven main thematic areas. In the first, catalysis, we will develop realistic models of several key catalytic systems including those used in auto-exhaust catalysis. Surfaces and interfaces control many materials properties and processes including crystal growth and dissolution; simulations with HECToR offer unrivalled opportunities for developing detailed and realistic models. Research into environmental materials is developing rapidly and simulations offer new opportunities to probe problems such as the immobilisation of pollutants by minerals. Nano-chemistry has wide-ranging applications in both catalysis and electronics and large-scale simulations are essential to understand fundamental structural and electronic properties. Biomaterials science is emerging as a particularly challenging and exciting field and simulations will solve problems ranging from the properties of bone-materials composites to the fundamental processes of biomineralisation. Energy materials are clearly of key importance and simulations with HECToR offer the opportunity of rapid progress especially in the fields of fuel cells, solid state batteries and materials for nuclear reactors. The field of quantum devices poses major challenges relating to the fundamental electronic structure of materials that can be solved using the large-scale simulations that HECToR will enable. To undertake these difficult and challenging simulations we will need computer code that is optimised for performance on the HECToR facility, and the project will play a leading role in the development of code, which can exploit the new facilities.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Closed"]}
|
|
April 11, 2022, 1:48 a.m. |
Added
35
|
{"external_links": [27699]}
|
|
April 11, 2022, 1:48 a.m. |
Created
35
|
[{"model": "core.project", "pk": 7630, "fields": {"owner": null, "is_locked": false, "coped_id": "47c5dafc-ea72-490c-82d8-0d7e6348ae67", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 35283, "created": "2022-04-11T01:46:06.766Z", "modified": "2022-04-11T01:46:06.766Z", "external_links": []}}]
|
|