30 citations · 30 across the 2 of their papers we have counts for
6 papers
Fully-Quantum-Theoretic Numerical Study on Quantum Phase Sensing and Ghost Imaging Systems Operating with Multimode N00N States
Dong-Yeop Na, Peter Bermel, Weng Cho Chew
We present a numerical study on the super-resolution of quantum phase sensing and ghost imaging systems operating with multimode N00N states beyond the Rayleigh diffraction limit.…
Diagonalization of Hamiltonian for finite-sized dispersive media: Canonical quantization with numerical mode-decomposition (CQ-NMD)
Dong-Yeop Na, Jie Zhu, Weng Cho Chew
We present a new math-physics modeling approach, called canonical quantization with numerical mode-decomposition, for capturing the physics of how incoming photons interact with fi…
Quantum Information Propagation Preserving Computational Electromagnetics
Dong-Yeop Na, Jie Zhu, Fernando L. Teixeira +1
We propose a new methodology, called numerical canonical quantization, to solve quantum Maxwell's equations useful for mathematical modeling of quantum optics physics, and numerica…
Digital image quantification of rice sheath blight: Optimized segmentation and automatic classification
Da-Young Lee, Dong-Yeop Na, Yong Seok Heo +1
Rapid and accurate phenotypic screening of rice germplasms is crucial in screening for sources of rice sheath blight resistance. However, visual and/or caliper-based estimations of…
Diagnosing numerical Cherenkov instabilities in relativistic plasma simulations based on general meshes
D. -Y. Na, J. L. Nicolini, R. Lee +3
Numerical Cherenkov radiation (NCR) or instability is a detrimental effect frequently found in electromagnetic particle-in-cell (EM-PIC) simulations involving relativistic plasma b…
Relativistic Extension of a Charge-Conservative Finite Element Solver for Time-Dependent Maxwell-Vlasov Equations
D. Y. Na, H. Moon, Y. A. Omelchenko +1
In many problems involving particle accelerators and relativistic plasmas, the accurate modeling of relativistic particle motion is essential for accurate physical predictions. Her…