494 citations · 1.9k across the 37 of their papers we have counts for
4 papers · 1 filter
Deep learning in nano-photonics: inverse design and beyond
Peter R. Wiecha, Arnaud Arbouet, Christian Girard +1
Deep learning in the context of nano-photonics is mostly discussed in terms of its potential for inverse design of photonic devices or nanostructures. Many of the recent works on m…
Hyper-doped silicon nanoantennas and metasurfaces for tunable infrared plasmonics
Jean-Marie Poumirol, Clément Majorel, Nicolas Chery +11
We present the experimental realization of ordered arrays of hyper-doped silicon nanodisks, which exhibit a localized surface plasmon resonance. The plasmon is widely tunable in a…
Deep learning enabled design of complex transmission matrices for universal optical components
Nicholas J. Dinsdale, Peter R. Wiecha, Matthew Delaney +8
Recent breakthroughs in photonics-based quantum, neuromorphic and analogue processing have pointed out the need for new schemes for fully programmable nanophotonic devices. Univers…
Unveiling the optical emission channels of monolayer semiconductors coupled to silicon nanoantennas
Jean-Marie Poumirol, Ioannis Paradisanos, Shivangi Shree +13
Monolayers (MLs) of transition metal dichalcogenides (TMDs) such as WSe2 and MoSe2 can be placed by dry stamping directly on broadband dielectric resonators, which have the ability…