Advanced Photonics and Manufacturing Core Facility

  • David Whitehead (Platform Lead),
  • Daniel Wilson (Technical Specialist),
  • Cameron Pulham (Technical Specialist),
  • Callum Snowden (Technical Specialist),
  • Simon Shaw (Senior Technician),
  • Charles Smith (Senior Technical Specialist),
  • Maddison Coke (Senior Technical Specialist),
  • Kejian Hou (Technical Specialist),
  • Sabina Gurung (Technical Specialist) &
  • Keir Murphy (Technical Specialist)

Facility/equipment: Platform

    Details

    Description

    The Advanced Photonics and Manufacturing Core Facility within the Faculty of Science and Engineering is managed by specialists and technicians from various institutes. This platform fosters collaboration between research and teaching, overseeing the technical operation of a diverse array of equipment for advanced manufacturing, photonics research, and optoelectronics research.

    Advanced Manufacturing activities are primarily conducted in the Laser Processing Research Laboratory (LPRL, formerly known as the LPRC) and the Manufacturing Technology Research Laboratory (MTRL). In contrast, Advanced Photonics research is centred in the Photon Science Institute (PSI). The Core Facility is also assisting in the establishment of the Bio-energy laboratory.

    Facilities at the PSI include optoelectronic device fabrication, optical and electronic characterisation, a cleanroom, a range of laser systems from continuous wave (CW) to ultrafast, and several specialised research facilities such as CUSTOM and PNAME. Many of these activities are associated with the Henry Royce Institute for Advanced Materials Research and Innovation.

    Each area is driven by academic leads or users of the equipment, with platform members providing services such as technical expertise, training, operational support, and research assistance.



    Research Beacons, Institutes and Platforms

    • Photon Science Institute

    Fingerprint

    Explore the research areas in which this equipment has been used. These labels are generated based on the related outputs. Together they form a unique fingerprint.