Felicitats a la nova graduada de doctorat de l'ICFO

Felicitem el Dr. David Barcons Ruiz que avui ha defensat la seva tesi a l’auditori de l’ICFO.

El Dr. Barcons va obtenir el seu master en Nanophysics and Advanced Material per la Universidad Complutense de Madrid. Es va unir a l’ICFO com a estudiant de doctorat al grup de recerca de Quantum Nano-Optoelectronics de l’ICFO dirigit pel profesor Dr Frank H.L. Koppens.

La tesi del Dr. Barcon titulada ‘Exploring graphene artificial superlattices and hydrodynamic plasmons’ ha esta supervisada pel professor Frank Koppens i el Dr. Hanan Herzig Sheinfux.

RESUMEN:

Graphene has revolutionized the field of condensed matter physics over the last two decades, emerging as an outstanding research platform. This is because graphene electrons behave as massless Dirac fermions, displaying properties typical of relativistic particles, and because of its extraordinary opto-electronic characteristics, such as an exceptional electron mobility, high tunability with electrostatic gating and broadband light absorption. More recently, the discovery of correlated physics in graphene moiré superlattices has led to a torrent of new investigations and results in the community. Moiré superlattices are generated by stacking Van der Waals layers with a relative twist, originating a new and longer periodicity that modifies the electronic band structure. In principle, one could also engineer artificially such superlattices, with the benefit of a complete flexibility to create any kind of lattice. In the first part of this Thesis, we introduce a new nanopatterning technique allowing us to pattern Van der Waals materials on a scale comparable to moiré superlattices, but with no restrictions in the lattice design. Our technique is based on ion-beam milling of suspended membranes and is able to imprint periodic features in graphite electrodes with less than 20 nm period. These periodic features serve to generate a superlattice potential in single layer graphene that modifies its band structure, which is demonstrated through electronic transport measurements. We employ our nanopatterning process to study more complicated lattice structures, which are not accessible by twisting layers. Our technique allows us to propose a feasible experimental setup to engineer isolated electronic flat bands, that could potentially lead to correlated phenomena, by inducing a superlattice potential in gapped bilayer graphene. This will allow to engineer a new class of solid-state Fermi-Hubbard model simulators, similar to those in moiré semiconductors.

Owing to the long distances graphene electrons can propagate without loosing their momentum, even at room temperature, it was recently shown that they can behave as a hydrodynamic fluid, for a significant and experimentally accessible range of parameters. This fluid-like behaviour is driven by the electron-electron collisions. Phenomena typical to liquids, such as viscosity, has been studied in graphene devices, drawing considerable interest from the scientific community. In the second part of this Thesis, we employ terahertz graphene plasmons – a collective excitation of the electron density - to explore the transition from the collisionless regime, where electron-electrons do not play a role in the dynamical response of graphene, to the hydrodynamic regime.  We demonstrate that the dynamical response of an electron liquid to an oscillating electric potential is different depending on whether the excitation frequency is larger or smaller than the frequency of electron-electron collisions. In electronic Fermi liquids, this is the equivalent of the zero to first sound transition observed in neutral Fermi liquids such as He-3. Finally, we implement a phase-resolved THz scattering nearfield system, that allows high signal-to-noise ratio imaging in the THz regime with few tens of nanometers resolution. We apply this technique to image THz acoustic plasmons in charge neutral graphene, for the first time.

COMISSIÓ DE TESI:

Prof. Dr. Javier García de Abajo, ICFO

Prof. Dr. Roman Gorbachev, University of Manchester

Prof. Dr. Eva Yocheved Andrei, Rutgers University