| EPSRC Reference: |
EP/I030298/1 |
| Title: |
Rare Events via Parallel Forward Flux Sampling |
| Principal Investigator: |
Allen, Professor RJ |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Physics and Astronomy |
| Organisation: |
University of Edinburgh |
| Scheme: |
Standard Research |
| Starts: |
01 October 2011 |
Ends: |
30 September 2013 |
Value (£): |
245,458
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| EPSRC Research Topic Classifications: |
| Fundamentals of Computing |
Gas & Solution Phase Reactions |
| High Performance Computing |
Software Engineering |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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02 Mar 2011
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HPC Software Development 2010-11
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Announced
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Summary on Grant Application Form |
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Rare events can have extremely important consequences. A recent example is of course the credit crunch of 2008, a global event of a size not seen since the 1930s. A part of the systematic failure to predict this event has been attributed to the failure of the banks' computer models to account properly for these events which, while having very low probability, are of very high import.From the scientific perspective, such a failure is understandable. Simulating rare events is extremely hard. This is for the simple reason that any given computer simulation will simply not see any rare events in any reasonable time. If you are looking for them, most (if not all) of your computational time and effort will be wasted.In our work, we will attempt to improve the situation. To do this, we will combine a powerful new technique for capturing rare events with the use of large supercomputers. The goal of the work is to provide software which will make it easier for scientists to apply this technique (known as Forward Flux Sampling ) to more difficult problems. As an example, the method can be used to study conformational (shape) changes in proteins; rare mistakes in the folding of proteins is thought to play an important role in neurodegenerative diseases. Our new software will help to make the study of such problems more straightforward. It may even help to predict the next financial crisis!
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.ed.ac.uk |