101 citations · 172 across the 5 of their papers we have counts for
5 papers
Giant optical nonlinearity in single silicon nanostructure: ultrasmall all-optical switch and super-resolution imaging
Yi-Shiou Duh, Yusuke Nagasaki, Yu-Lung Tang +14
Silicon photonics has attracted significant interest in recent years due to its potential in integrated photonics components (1,2) as well as all-dielectric meta-optics elements.(3…
Reply to comment "Divergent and Ultrahigh Thermal Conductivity in Millimeter-Long Nanotubes"
Victor Lee, Chi-Hsun Wu, Zong-Xing Lou +2
We regret that PRL did not accept our Reply for publication. We believe that both our Reply and the original paper (Phys. Rev. Lett. 118, 135901 (2017)) is sound and correct. We po…
Reynolds-Averaged Turbulence Modeling Using Type I and Type II Machine Learning Frameworks with Deep Learning
Chih-Wei Chang, Nam T. Dinh
Deep learning (DL)-based Reynolds stress with its capability to leverage values of large data can be used to close Reynolds-averaged Navier-Stoke (RANS) equations. Type I and Type…
Classification of Machine Learning Frameworks for Data-Driven Thermal Fluid Models
Chih-Wei Chang, Nam T. Dinh
Thermal fluid processes are inherently multi-physics and multi-scale, involving mass-momentum-energy transport phenomena. Thermal fluid simulation (TFS) is based on solving conserv…
Temperature-dependent permittivity of annealed and unannealed gold films
Po-Ting Shen, Yonatan Sivan, Cheng-Wei Lin +3
Due to local field enhancement and subwavelength confinements, nano-plasmonics provide numerous novel applications. Simultaneously, as an efficient nanoscale heat generator from in…