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Details of Grant 

EPSRC Reference: EP/X035433/1
Title: EPSRC Capital Award for Core Equipment 2022/23 - UnMet Demand
Principal Investigator: Parsons, Professor DR
Other Investigators:
Lohse, Professor N Yu, Professor EH Johnson, Dr AA
Bowers, Dr J Reynolds, Dr J Liu, Dr C
Meng, Professor Q
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 DatePanel NameOutcome
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
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
Sectors submitted by the Researcher
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Project URL:  
Further Information:  
Organisation Website: http://www.lboro.ac.uk