| EPSRC Reference: |
EP/X035433/1 |
| Title: |
EPSRC Capital Award for Core Equipment 2022/23 - UnMet Demand |
| Principal Investigator: |
Parsons, Professor DR |
| Other Investigators: |
|
| Researcher Co-Investigators: |
|
| Project Partners: |
|
| Department: |
Research Office |
| Organisation: |
Loughborough University |
| Scheme: |
Standard Research - NR1 |
| Starts: |
03 January 2023 |
Ends: |
02 July 2024 |
Value (£): |
875,000
|
| EPSRC Research Topic Classifications: |
| Analytical Science |
Artificial Intelligence |
| Robotics & Autonomy |
|
|
| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
|
|
| Related Grants: |
|
| Panel History: |
| Panel Date | Panel Name | Outcome |
|
03 Nov 2022
|
EPSRC Core Equipment Award - Panel Two
|
Announced
|
|
|
Summary on Grant Application Form |
Our well-equipped and well-supported existing laboratory provision is integral to our research strategy, featuring particularly prominently across our EPSRC portfolio. It is a foundational aspect of our research ethos that we provide our researchers with the tools and environments they need to flourish. We intend to use this block grant to invest in five pieces of core equipment which will enhance these facilities and benefit academics across departments within a range of Engineering and Physical Sciences (EPS) disciplines, thus meeting the underpinning multi-user equipment objective for the award as a whole. In addition, one of the items is a replacement for an existing piece of kit, meeting the invest to save objective. Several of the submissions included within this application are led by Early Career Researchers, meeting the Core Equipment in support of Early Career Researchers objective, and two pieces of equipment also support the Core Equipment in support of critical mass doctoral training objective.
The four items of underpinning multi-user equipment to be purchased via this grant are:
- Differential Electrochemical Mass Spectrometry (DEMS) System
- NVIDIA A100 3 GPU Deep Learning Server
- Waters Radian Mass Spectrometer
- High payload collaborative human-robot.
|
|
Key Findings |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Potential use in non-academic contexts |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
|
Impacts |
|
| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
|
| Date Materialised |
|
|
|
|
Sectors submitted by the Researcher |
|
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
|
| Project URL: |
|
| Further Information: |
|
| Organisation Website: |
http://www.lboro.ac.uk |