3 papers
physics.optics2026
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…
cond-mat.supr-con2025
Enhanced superconductivity in ultrathin FeSe films on SrTiO3 via resonant anti-shielding: Superconductivity meets superfluidity
Krzysztof Kempa, Michael J. Naughton, Hanno H. Weitering
A vanishingly small dielectric function reflects a singular polarization response in a medium, leading to collective plasmonic or polaronic excitations that can enhance Cooper pair…
cond-mat.supr-con2025
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…