Bartłomiej Leks

Working on understanding lineon excitations in magic-angle twisted bilayer graphene at one-third filling. Using tensor networks (DMRG) to study the low-energy physics, correlations and phase transitions, combined with analytical methods like Bethe Ansatz and bosonization.

The goal is to connect simplified 1D models to the more complex 2D physics of fractionalized states in moiré heterostructures. Presented this work at ETH's Theory Talks seminar.

Developed molecular dynamics software using equivariant graph neural networks to optimize force field predictions.

The project focused on developing efficient ML models that respect physical E(3) symmetries, and optimizing them for HPC environments and for incorporation into molecular dynamics simulations.

Developed own DFT and tight-binding code and used it, along with Quantum ESPRESSO, to study electronic band structures of transition metal dichalcogenides (TMDs).

Focused on understanding the effects of different atoms on bandgap and band topology, comparing results to benchmark computational methods and to select materials for photophysical applications.