activity
20092026
most citedGraphene Nanobubbles as Valley Filters and Beamsplitters

177 citations · 1.2k across the 41 of their papers we have counts for

collaborators

42 papers

cond-mat.mes-hall2026

Optimizing quantum transport in multi-barrier graphene systems using differential evolution

Leon Browne, Stephen R. Power

Potential and mass barriers in graphene introduce electron scattering, modulating transmission probabilities. Complex multi-barrier setups allow electron transmission to be control…

cond-mat.mes-hall2025

Edge disorder and magnetism in graphene nanoribbons: an inverse modelling approach

Shardul Mukim, Meric E. Kucukbas, Stephen R. Power +1

It is difficult to completely eliminate disorder during the fabrication of graphene-based nanodevices. From a simulation perspective, it is straightforward to determine the electro…

cond-mat.mes-hall2023★ 2 cited

The emergence of interface states in graphene/transition metal dichalcogenides heterostructure with lateral interface

Zahra Khatibi, Stephen R. Power

The relative strength of different proximity spin-orbit couplings in graphene on transition metal dichalcogenides (TMDC) can be tuned via the metal composition in the TMDC layer. W…

cond-mat.mes-hall2022

Proximity spin-orbit coupling in graphene on alloyed transition metal dichalcogenides

Zahra Khatibi, Stephen R. Power

The negligible intrinsic spin-orbit coupling (SOC) in graphene can be enhanced by proximity effects in stacked heterostructures of graphene and transition metal dichalcogenides (TM…

cond-mat.mtrl-sci2022

Strain-induced stacking transition in bilayer graphene

Nina C. Georgoulea, Stephen R. Power, Nuala M. Caffrey

Strain, both naturally occurring and deliberately engineered, can have a considerable effect on the structural and electronic properties of 2D and layered materials. Uniaxial or bi…

cond-mat.mes-hall2022★ 5 cited

Predicting magnetic edge behaviour in graphene using neural networks

Meriç E. Kucukbas, Seán McCann, Stephen R. Power

Magnetic moments near zigzag edges in graphene allow complex nanostructures with customised spin properties to be realised. However, computational costs restrict theoretical invest…