79 citations · 199 across the 11 of their papers we have counts for
11 papers
Machine-learning-enabled characterization of individual ring resonators in integrated photonic lattices
Elizabeth Louis Pereira, Amin Hashemi, Faluke Aikebaier +3
Accurately determining the underlying physical parameters of individual elements in integrated photonics is increasingly difficult as device architectures become more complex. Infe…
Transfer learning of many-body electronic correlation entropy from local measurements
Faluke Aikebaier, Teemu Ojanen, Jose L. Lado
The characterization of quantum correlations in many-body systems is instrumental to understanding the nature of emergent phenomena in quantum materials. The correlation entropy se…
Machine learning the Kondo entanglement cloud from local measurements
Faluke Aikebaier, Teemu Ojanen, Jose L. Lado
A quantum coherent screening cloud around a magnetic impurity in metallic systems is the hallmark of the antiferromagnetic Kondo effect. Despite the central role of the Kondo effec…
Extracting electronic many-body correlations from local measurements with artificial neural networks
Faluke Aikebaier, Teemu Ojanen, Jose L. Lado
The characterization of many-body correlations provides a powerful tool for analyzing correlated quantum materials. However, experimental extraction of quantum entanglement in corr…
Controlling magnetism through Ising superconductivity in magnetic van der Waals heterostructures
Faluke Aikebaier, Tero T. Heikkilä, J. L. Lado
Van der Waals heterostructures have risen as a tunable platform to combine different electronic orders, due to the flexibility in stacking different materials with competing symmet…
Domain wall motion in a diffusive weak ferromagnet
Faluke Aikebaier, Tero T. Heikkilä
We study the domain wall motion in a disordered weak ferromagnet, induced by injecting a spin current from a strong ferromagnet. Starting from the spin diffusion equation describin…