| EPSRC Reference: |
EP/V036440/1 |
| Title: |
University of Bristol Core Equipment Award 2020 |
| Principal Investigator: |
Taylor, Professor PC |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Research and Enterprise Development |
| Organisation: |
University of Bristol |
| Scheme: |
Standard Research - NR1 |
| Starts: |
01 November 2020 |
Ends: |
30 April 2022 |
Value (£): |
773,320
|
| EPSRC Research Topic Classifications: |
| Aerodynamics |
Building Ops & Management |
| Chemical Synthetic Methodology |
Robotics & Autonomy |
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| EPSRC Industrial Sector Classifications: |
| Aerospace, Defence and Marine |
Healthcare |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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29 Sep 2020
|
Core Equipment Award 2020 - Panel 1
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Announced
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Summary on Grant Application Form |
The University of Bristol (UoB) has chosen to support investments in equipment which supports research across EPSRC's remit in the Engineering and Science Faculties. It will underpin programs incorporating >250 researchers, >£50M of EPSRC investment and addressing key strategic priorities in University research programs. Investments are as follows:
A 3D Precision Displacement Tracker and High-frequency data acquisition system enabling high-quality flow and structure displacement measurement and thus significantly enhancing the research capabilities of UoB's Lowson Wind Tunnel Facility.
A state-of-the-art 3D printer that will vastly extend rapid prototyping provision at Bristol Robotics Laboratory (BRL) enabling a range of current and future research targets, including smart human-interactive research, adaptive swarms, biomedical soft robotics, morphing UAVs and dexterous robot hands.
A Multi-user platform for Digital Chemistry integrated into the University's cutting-edge Blue Pebble high-performance computing Facilities that will support research challenges across the spectrum of chemical and mathematical science, including machine learning, mathematical tools, materials design, biochemical simulation, and data science.
A scanning Aerodynamic Aerosol Classifier (s-AAC), enabling the elucidation of mechanisms behind accelerated reactions in aerosol systems to provide routes to green chemical synthesis; transforming indoor and outdoor air quality models for aerosol transport and evolution; and providing pioneering insights into the role of aerosols in disease transmission, including Covid-19.
All of these equipment address three of the core objectives of this call: underpinning multi-user equipment, supporting ECRs and supporting critical mass doctoral training.
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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.bris.ac.uk |