6 papers
Machine Learning to Foundation Models: Artificial Intelligence for Nanophotonic Modeling and Scientific Discovery
Chaobin Yang, Xueqing Liu, Yiqun Fu +4
Artificial intelligence (AI) is increasingly used to model, design, and study nanophotonic systems. This review traces the development of the field from classical machine learning…
Resonant dielectric amplification of superconductivity at the FeSe:SrTiOT interface
Krzysztof Kempa, Michael J. Naughton, Hanno H. Weitering
Epitaxial monolayers of FeSe grown on SrTiO (STO) and related polar substrates exhibit superconducting transition temperatures of 65-70 K, far above the ~8 K value of bulk FeSe…
Ambient condition superconductivity via engineered polaronic environment
Krzysztof Kempa, Michael J. Naughton
A vanishing dielectric function is required for longitudinal plasmonic or polaronic modes in a polarizable uniform medium and, in general, heralds the presence of singular charge f…
Transmission anomalies in 2D photonic crystals from the checkerboard family: From broken to hidden symmetries and plasmon "spoofing"
T. Dodge, M. Schiller, R. Yi +2
In a field representation, the main symmetry of the electromagnetic response of complementary metal film structures is described by the Babinet principle, expected to be obeyed by…
Analytical Device-Physics Framework for Non-Planar Solar Cells
T. Kirkpatrick, M. J. Burns, M. J. Naughton
Non-planar solar-cell devices have been promoted as a means to enhance current collection in absorber materials with charge-transport limitations. This work presents an analytical…
The Effects of Geometry on a-Si:H Solar Cell Performance
T. Kirkpatrick, M. J. Burns, M. J. Naughton
We present a model for simulating performance of 3D nano -coaxial and -hemispherical thin film solar cells. The material system considered in these simulations is hydrogenated amor…