Condensed Matter Theory Group

Our group is devoted to the understanding of the physics of hard and soft condensed materials, of basic or applied interest, from the theoretical perspective and in the interpretation of the experimental results. Particular topics include research on transport and spectral properties of nano-structured systems, statistical physics of condensed matter systems, devices and applications, materials modelling and computational techniques. To that end we develop analytical and high-performance numerical techniques necessary for those studies. We also contribute to the training of young researchers, mainly at the Instituto Balseiro , and to the dissemination of science in society.

The group belongs to the Physics Department at the Centro Atómico Bariloche. The staff is currently composed of 17 researchers and a variable number of Master and PhD students as well as postdoctoral researchers.

Theory of nanostructured systems

Devices and Applications

Materials modelling

Statistical physics and condensed matter

Computational techniques

Tuning strategy for Curie-temperature enhancement in the van der Waals magnet Mn1+xSb2−xTe4 [published in Materials Today]

17 noviembre, 2023

Down-hill creep of a granular material under expansion/contraction cycles [preprint]

Topological phases of strongly-interacting time-reversal invariant topological superconducting chains under a magnetic field [preprint]

12 noviembre, 2023

Orbital-free density-functional theory for metal slabs [published in J. Chem. Phys.]

Thermoelectric properties of a double quantum dot out of equilibrium in Kondo and intermediate valence regimes [published in PRB]

11 octubre, 2023

Effect of interatomic repulsion on Majorana zero modes in a coupled quantum-dot-superconducting-nanowire hybrid system [preprint]

4 octubre, 2023

Effect of memristor’s potentiation-depression curves peculiarities in the convergence of physical perceptrons [published in Physica Scripta]

9 agosto, 2023

Effective one-band models for the one-dimensional cuprate Ba2−xSrxCuO3+δ [published in PRB]

9 agosto, 2023

Unveiling Exotic Magnetic Phases in Fibonacci Quasicrystalline Stacking of Ferromagnetic Layers through Machine Learning [preprint]

3 agosto, 2023

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Tuning strategy for Curie-temperature enhancement in the van der Waals magnet Mn1+xSb2−xTe4 [published in Materials Today]

Down-hill creep of a granular material under expansion/contraction cycles [preprint]

The chiral knife edge: a simplified rattleback to illustrate spin inversion [preprint]

From shear bands to earthquakes in a model granular material with contact aging [preprint]

Topological phases of strongly-interacting time-reversal invariant topological superconducting chains under a magnetic field [preprint]

Orbital-free density-functional theory for metal slabs [published in J. Chem. Phys.]

Depinning free of the elastic approximation [published in PRB]

Coexistence of insulating phases in confinedfermionic chains with a Wannier-Stark potential [preprint]

Unveiling exotic magnetic phases in Fibonacci quasicrystals through machine learning [published in PRB]

Thermoelectric properties of a double quantum dot out of equilibrium in Kondo and intermediate valence regimes [published in PRB]

Effect of interatomic repulsion on Majorana zero modes in a coupled quantum-dot-superconducting-nanowire hybrid system [preprint]

A la memoria de Arturo López Dávalos

Phase diagram of the ionic Hubbard model with density-dependent hopping [published in PRB]

Distinción Konex para Arturo Lopez Dávalos

Fast quantum gates based on Landau-Zener-St¨uckelberg-Majorana transitions

Large anomalous Hall effect in single crystals of the kagome Weyl ferromagnet Fe3Sn [published in PRB]

Interaction-induced charge pumping in a topological many-body system [preprint]

Effect of memristor’s potentiation-depression curves peculiarities in the convergence of physical perceptrons [published in Physica Scripta]

Effective one-band models for the one-dimensional cuprate Ba2−xSrxCuO3+δ [published in PRB]

Unveiling Exotic Magnetic Phases in Fibonacci Quasicrystalline Stacking of Ferromagnetic Layers through Machine Learning [preprint]