Dresden 2026 – scientific programme

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TT: Fachverband Tiefe Temperaturen

TT 54: Graphene: Electronic structure, excitations, etc. (joint session O/TT)

TT 54.9: Talk

Wednesday, March 11, 2026, 17:00–17:15, HSZ/0204

Optimizing quantum transport in multi-barrier graphene systems using differential evolution — •Leon Browne and Stephen R. Power — School of Physical Sciences, Dublin City University, Ireland

Potential and mass barriers in graphene introduce electron scattering, modulating transmission probabilities. Complex multi-barrier setups allow electron transmission to be controlled with high precision, but have a huge design space of possible barrier geometries. This work presents a framework to optimize electronic transport in such systems using differential evolution algorithms. First, transfer matrix methods are employed to efficiently compute quantum transport through multi-barrier structures, before optimization is applied to find barrier configurations whose transmission profiles closely match a predefined target profile. To address the trade-off between the accuracy and complexity of resulting barrier configurations, regularization techniques are incorporated into the optimization process. Our approach demonstrates the potential for highly tunable electronic transport in graphene-based systems by exploiting evolution-inspired optimization techniques.

Keywords: graphene; 2D materials; nanoelectronics; optimization; differential evolution