My name is Jose Lado and I am currently an ETH Fellow at the Institute for Theoretical Physics at ETH Zurich, with Prof. Manfred Sigrist and Prof. Oded ZIlberberg. Previously, I was in the Theory of Nanostructures group at INL, led by Prof. Joaquin Fernandez Rossier. My research focuses on theoretical condensed matter physics.
I am particularly interested in topological, magnetic and interaction driven properties of quantum materials. An important part of my research focuses on two-dimensional materials such as graphene. In particular, the possibility of stacking 2D materials represents an exciting platform to engineer systems where competing forces coexist, such as superconductivity, magnetism, Moire patterns or frustration. This flexibility allows to engineer electronic systems hosting artificial gauge fields, strong electronic correlations and competing orders, that can potentially allow to realize elusive electronic orders such as topological states, quantum spin liquids and unconventional superconductors.
I also develop computational tools to address different types of problems using low energy effective models. These techniques allow to compute a variety of electronic and magnetic properties, perform electronic transport, capture interaction effects and characterize the topology of the system. Most of the programs I develop are frequently uploaded and are freely available for download and use.
The main topics that I have been working on recently are:
- Topological superconductivity with antiferromagnetic insulators
- Electric control of gauge fields in twisted bilayer graphene
- Engineering Chern insulators with nodal line semimetals
Other topics that I am working/interested in are:
- Magnetism and spin properties of graphene
- Quantum criticality and entanglement
- Single atoms on surfaces
- Density functional theory methods
- Interplay between magnetism and superconductivity
- Machine learning techniques for condensed matter
The main open source computational tools that I have been developing recently:
- pygra: Python library to perform tight binding calculations in a variety of systems
- dmrgpy: Python library to perform density matrix renormalization group in many body systems (based on ITensor)
- Quantum Honeycomp: User interface to perform tight binding calculations (based on pygra)
- SpinFlare: User interface to solve quantum spin chains with matrix product techniques (based on dmrgpy)