Suk Hyun Yeo 研究室

AI 要約（直近 5 年の研究成果）

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

研究成果（15 件）

• [2026] Surrogate-Assisted Multidisciplinary System Design Optimization of Lunar Transfer Vehicles
  DOI: https://doi.org/10.2514/1.j066418
• [2026] Uncertainty-based optimization and sensitivity analysis of microwave electrothermal thrusters for enhanced engine ignition performance
  DOI: https://doi.org/10.1016/j.ast.2026.112569
• [2026] Optimization of a novel reverse vortex generator for thermal management in microwave electrothermal thrusters via evolutionary algorithms
  DOI: https://doi.org/10.1016/j.ast.2026.111780
• [2026] Evolutionary Algorithm-Aided Analysis of Divergent Discharge Channels in Low-Power Cusped Field Thrusters Using a Power Model
  DOI: https://doi.org/10.2322/tjsass.69.115
• [2025] Multi-Objective Design Optimization of Microwave Electrothermal Thruster for Optimal Engine Startup
  DOI: https://doi.org/10.2514/1.b39882
• [2025] Multidisciplinary System Design Optimization of Interplanetary Transfer Vehicle from Geostationary Transfer Orbit to Low Mars Orbit
  DOI: https://doi.org/10.2514/6.2025-0771
• [2025] Multidisciplinary System Design Optimization of Interplanetary Vehicles With Solar Electric Propulsion
  DOI: https://doi.org/10.2514/6.2025-0359
• [2025] Multi-Point Design Optimisation of Microwave Electrothermal Thruster Nozzles for Robust In-Space Operation
  DOI: https://doi.org/10.52202/083090-0036
• [2024] Multi-objective design optimization and physics-based sensitivity analysis of field emission electric propulsion for CubeSat platforms
  DOI: https://doi.org/10.1016/j.ast.2024.109516
• [2024] Multidisciplinary System Design Optimization for Lunar Transportation Missions via Surrogate-Assisted Evolutionary Algorithms
  DOI: https://doi.org/10.2514/6.2024-0206

科研費（0 件）

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所属学会・役職（0 件）

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