2 papers
cs.LG2025
Dual-Balancing for Physics-Informed Neural Networks
Chenhong Zhou, Jie Chen, Zaifeng Yang +1
Physics-informed neural networks (PINNs) have emerged as a new learning paradigm for solving partial differential equations (PDEs) by enforcing the constraints of physical equation…
physics.optics2024
Collective nature of high-Q resonances in finite-size photonic metastructures
Thanh Xuan Hoang, Daniel Leykam, Hong-Son Chu +3
We study high quality-factor (high Q) resonances supported by periodic arrays of Mie resonators from the perspectives of both Bloch wave theory and multiple scattering theory. We r…