スポンサーリンク
Division of Electronics and Information Engineering, Hokkaido University | 論文
- Full-Vector Analysis of Photonic Crystal Fibers by the Finite Element Method
- A novel approach for designing photonic crystal fiber splitters with polarization-independent propagation characteristics
- A novel approach for designing photonic crystal fiber splitters with polarization-independent propagation characteristics
- A novel approach for designing photonic crystal fiber splitters with polarization-independent propagation characteristics
- An Anisotropic PML for Finite Element Beam Propagation Analysis of Anisotropic Optical Waveguides
- Beam Propagation Method for Three-Dimensional Surface Acoustic Waveguides
- FEM-Based Electromagnetic Wave Simulator Running on Some Platforms by Use of Java and a Commercial Tool(Analytical and Simulation Methods for Electromagnetic Wave Problems)
- FEM-Based Electromagnetic Wave Simulator Running on Some Platforms by Use of Java and a Commercial Tool
- Software for a Multilayered Surface Acoustic Wave Device Based on the Finite Element Method and Coupling-of-Modes Theory
- 3-Dimensional Beam Propagation Analysis of Nonlinear Optical Fibers (Special Issue on Optical Fibers and Their Applications)
- Full-Vector Analysis of Photonic Crystal Fibers Using the Finite Element Method(Special Issue on Optical Fibers and Devices)
- Enhancement of Nitrogen Gas Breakdown Voltage between Coated Aluminum Electrodes with Fluorocarbon Polymer Film Prepared in C_8F_ Vapor RF Plasma
- Finding Priorities of Circumscription Policy as a Skeptical Explanation in Abduction
- Simple and Efficient Adaptive Mesh Generation for Approximate Scalar Guided-Mode and Beam-Propagation Solutions (Special Issue on Computational Electromagnetics)
- Three-Dimensional Beam Propagation Analysis of Quasi-Phase Matched Second Harmonic Generation Devices with Triangular and Semi-Circular Domain Inversion Profiles(Special lssue on Recent Developments in Guided-Wave Problems)
- Polynomial PAC Learnability of Learning Weights of Multi-objective Functions by Pairwise Comparison