High spatial/spectral resolution hyperspectral Imaging for PL, EL microscopy or large area. Confocal Raman/PL spectrometer / Triplegrating, lasers: 350nm, 532nm, 633nm, 785nm. Portal environmental chambers for simultaneous optical/electrical characterisation, with 3 channel gas mixing, and multiplexing upto 40 channels.
Scientific focus and expertise:
NPL, My expertise is in spectroscopy of optically active materials, I principally work with monocrystalline materials, such as two-dimensional direct bandgap semiconductors and InAs/GaAs quantum dots being highly familiar with synthesis, micro-fab and material/device characterisations, combining optical techniques such as confocal PL/Raman, time-correlated photon counting, with bias techniques such as electric field, magnetic field and spatial techniques such as imaging. I am currently developing a patent pending hyperspectral imaging system that has unprecedented spectral/spatial resolution for the use of defect characterisation in thin-film optically active materials.
Directgap Semiconductors and other optically active materials.
Adapting existing micron-scale and nano-scale measurement techniques to devices and materials at scale and at volume, the challenge is to look for ways to use at-scale techniques to give information that cannot be obtained by techniques at the nanoscale, but also provide pathways for inference. For instance, luminescence spectroscopic mapping at the micro-scale has an obvious at-scale analogy with hyperspectral imaging, but are there material properties at the large scale that cannot be made sense or is invisible at the nanoscale? Are there ways we can infer what's happening on smaller length scales from measurements on the large scale? Are there good ways to classify defects measured using at-scale techniques? How does uncertainty from measurements across-length scales combine together to increase confidence in adoption and innovation of materials and technologies?
metrology, quantum, energy harvesting, photonics, spectroscopy, sensing, imaging, pathology, surveying
lectronics & Photonics, Energy, Healthcare
High selectivity sensors of pollution, flexible wearable technology for medicare, engineered materials for light weight imaging systems.