History of changes to: A Bayesian Neural Network (BNN) Machine Learning (ML) Surrogate Modelling Framework for High-Fidelity Thermal Fatigue Modelling of Components
Date Action Change(s) User
Nov. 27, 2023, 2:14 p.m. Added 35 {"external_links": []}
Nov. 20, 2023, 2:04 p.m. Added 35 {"external_links": []}
Nov. 13, 2023, 1:34 p.m. Added 35 {"external_links": []}
Nov. 6, 2023, 1:32 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, 1:30 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, 1:29 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": 31322, "fields": {"project": 8548, "organisation": 2, "amount": 0, "start_date": "2021-09-30", "end_date": "2025-09-29", "raw_data": 43465}}]
Jan. 28, 2023, 11:09 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 89064, "fields": {"project": 8548, "organisation": 2436, "role": "STUDENT_PP_ORG"}}]
Jan. 28, 2023, 11:09 a.m. Created 41 [{"model": "core.projectorganisation", "pk": 89063, "fields": {"project": 8548, "organisation": 60, "role": "LEAD_ORG"}}]
Jan. 28, 2023, 11:09 a.m. Created 40 [{"model": "core.projectperson", "pk": 55791, "fields": {"project": 8548, "person": 11296, "role": "STUDENT_PER"}}]
Jan. 28, 2023, 11:09 a.m. Created 40 [{"model": "core.projectperson", "pk": 55790, "fields": {"project": 8548, "person": 7716, "role": "SUPER_PER"}}]
Jan. 28, 2023, 10:52 a.m. Updated 35 {"title": ["", "A Bayesian Neural Network (BNN) Machine Learning (ML) Surrogate Modelling Framework for High-Fidelity Thermal Fatigue Modelling of Components"], "description": ["", "\nNational energy grid and power distribution infrastructure, within developed and developing countries, are currently undergoing significant modification to produce so-called smart grid infrastructure. In these smart grids there will be a mixture of dynamically evolving or intermittent renewable energy supply augmented by a proportion of base-load electrical power. There is a widespread misconception that nuclear power plants (NPPs) can only provide relatively inflexible base-load power to any national energy grid networks. However, this is significantly affecting the long-term prospects of the nuclear sector's role in delivering cost effective electrical power within the more heterogeneous and mixed power generation environment that is evolving around the world. Increasing electrical power generation is being dominated by intermittent renewable energy forms. Nuclear power generation will need to adapt to this new smart grid infrastructure.\n\n"], "extra_text": ["", "\n\n\n\n"], "status": ["", "Active"]}
Jan. 28, 2023, 10:52 a.m. Added 35 {"external_links": [34918]}
Jan. 28, 2023, 10:52 a.m. Created 35 [{"model": "core.project", "pk": 8548, "fields": {"owner": null, "is_locked": false, "coped_id": "d63c52aa-74c3-45d7-91d5-5bf199c15631", "title": "", "description": "", "extra_text": "", "status": "", "start": null, "end": null, "raw_data": 43462, "created": "2023-01-28T10:49:27.185Z", "modified": "2023-01-28T10:49:27.185Z", "external_links": []}}]