4 papers
GlueNN: gluing patchwise analytic solutions with neural networks
Doyoung Kim, Donghee Lee, Hye-Sung Lee +2
In the analysis of complex physical systems, the objective often extends beyond merely computing a numerical solution to capturing the precise crossover between different regimes a…
BCS superconductivity in the presence of wave dark matter
Yechan Kim, Hye-Sung Lee, Jiheon Lee +1
In the established era of dark matter, condensed matter Hamiltonians-including those of superconductors-may require extension to account for the surrounding Galactic environment. W…
Dark energy under a gauge symmetry: A review of gauged quintessence and its implications
Kunio Kaneta, Hye-Sung Lee, Jiheon Lee +1
We review the gauged quintessence scenario, wherein the quintessence scalar field responsible for dark energy is promoted to a complex field charged under a dark gauge symme…
Synaptic Field Theory for Neural Networks
Donghee Lee, Hye-Sung Lee, Jaeok Yi
Theoretical understanding of deep learning remains elusive despite its empirical success. In this study, we propose a novel "synaptic field theory" that describes the training dyna…