150 citations · 239 across the 17 of their papers we have counts for
5 papers · 1 filter
Refining Heuristic Predictors of Fractional Chern Insulators using Machine Learning
Oriol Mayné i Comas, André Grossi Fonseca, Sachin Vaidya +1
We develop an interpretable, data-driven framework to quantify how single-particle band geometry governs the stability of fractional Chern insulators (FCIs). Using large-scale exac…
Tunable Nanophotonic Devices and Cavities based on a Two-Dimensional Magnet
Ahmet Kemal Demir, Luca Nessi, Sachin Vaidya +3
Central to the field of nanophotonics is the ability to engineer the flow of light through nanoscale structures. These structures often have permanent working spectral ranges and o…
Symbolic Learning of Topological Bands in Photonic Crystals
Ali Ghorashi, Sachin Vaidya, Ziming Liu +4
Topological photonic crystals (PhCs) that support disorder-resistant modes, protected degeneracies, and robust transport have recently been explored for applications in waveguiding…
Quantized crystalline-electromagnetic responses in insulators
Sachin Vaidya, André Grossi Fonseca, Mark R. Hirsbrunner +2
We introduce new classes of gapped topological phases characterized by quantized crystalline-electromagnetic responses, termed "multipolar Chern insulators". These systems are char…
Nanophotonic thermal management in X-ray tubes
Simo Pajovic, Charles Roques-Carmes, Seou Choi +5
In X-ray tubes, more than 99% of the kilowatts of power supplied to generate X-rays via bremsstrahlung are lost in the form of heat generation in the anode. Therefore, thermal mana…