collaborators

5 papers

cs.CV2025

In silico Deep Learning Protocols for Label-Free Super-Resolution Microscopy: A Comparative Study of Network Architectures and SNR Dependence

Shiraz S Kaderuppan, Jonathan Mar, Andrew Irvine +4

The field of optical microscopy spans across numerous industries and research domains, ranging from education to healthcare, quality inspection and analysis. Nonetheless, a key lim…

physics.chem-ph2025

Conformally-coated Nickel-Carbon Nitride on Structured Pyrolytic Carbon Electrodes for Enhanced Hydrogen Evolution

Nadira Meethale Palakkool, Mike P. C. Taverne, Owen G. Bell +8

This study presents a three-dimensional electrode for hydrogen evolution reaction (HER), tackling challenges in corrosion resistance, catalytic activity, and durability. The electr…

cond-mat.mes-hall2025

Localisation of hexagonal boron nitride colour centres using patterned dielectric layers on graphene

M. K. Prasad, V. Babenko, A. W. Tadbier +3

One of the most promising building blocks for the development of spin qubits, single-photon sources, and quantum sensors at room temperature, as well as 2D ultraviolet light-emitti…

cond-mat.mtrl-sci2025

Charging of quantum emitters in hexagonal boron nitride - graphene heterostructures due to electrostatic screening

Madhava Krishna Prasad, Jonathan Paul Goss, Jonathan David Mar

Defect color centers in hexagonal boron nitride (hBN) have gained significant interest as single-photon emitters and spin qubits for applications in a wide range of quantum technol…

physics.optics2024

Hexagonal boron nitride based photonic quantum technologies

Madhava Krishna Prasad, Mike P. C. Taverne, Chung-Che Huang +2

Hexagonal boron nitride is rapidly gaining interest as a platform for photonic quantum technologies, due to its two-dimensional nature and its ability to host defects deep within i…