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• Machine Learning-Based Prediction of Atomic Layer Control for MoS₂ via Reactive Ion Etcher

  
  Changmin Kim , Seunghwan Lee , Muyoung Kim et al. ^aDepartment of Plasma Engineering, Korea Institute of Machinery and Materials, Daejeon 34103, Republic of Korea
  ^bSchool of Mechanical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
  ^cDepartment of Materials Science and Engineering, Chungnam National University, Daejeon 34134, Republic of Korea
  ^dSKKU Advanced Institute of Nanotechnology, Sungkyunkwan University, Suwon 16419, Republic of Korea ASCT 2023; 32(5): 106-109
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• Review of Generative Models for the Inverse Design of Nanophotonic Metasurfaces

  
  Seunghwan Moon , Jihun Kang , and Jong-Souk Yeo ^aSchool of Integrated Technology, College of Computing, Yonsei University, Seoul 03722, Republic of Korea
  ^bBK21 Graduate Program in Intelligent Semiconductor Technology, Yonsei University, Seoul 03722, Republic of Korea ASCT 2023; 32(6): 141-150
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• Recent Advances in Photonic Polymerase Chain Reaction Processes with Functionalized Nanomaterials

  
  Rochani Manishika , Sung Eun Seo , Kyung Ho Kim et al. ^aInfectious Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
  ^bDepartment of Bio-molecular Science, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
  ^cDepartment of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
  ^dImmunotherapy Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
  ^eEnvironmental Disease Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea
  ^fBiomolecular Science, Korea University of Science and Technology, Daejeon 34113, Republic of Korea
  ^gSKKU Advanced Institute of Nanotechnology (SAINT), Department of Nano Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea
  ^hDepartment of Nano Science and Technology, Sungkyunkwan University, Suwon 16419, Republic of Korea ASCT 2023; 32(6): 134-140
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• Deep Learning Predicts Ar/O₂ Plasma in Inductively Coupled Plasma Discharge

  
  Sang-Bin Lee , Ji-Hoon Kim , Gwan Kim et al. School of Electronics and Information Engineering, Korea Aerospace University, Goyang 10540, Republic of Korea ASCT 2023; 32(5): 122-126
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• Spectroscopic Analysis of Effects of Additive Nitrogen on Atmospheric Pressure Ar/HMDS Plasma

  
  Jonggu Han , Rodolphe Mauchauffé , and Se Youn Moon ^aDepartment of Applied Plasma and Quantum Beam Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea
  ^bMaterials Research and Technology Department, Luxembourg Institute of Science and Technology, Esch-sur-Alzette L-4362, Luxembourg
  ^cDepartment of Quantum System Engineering, Jeonbuk National University, Jeonju 54896, Republic of Korea
  ^dHigh-Enthalpy Plasma Research Center, Jeonbuk National University, Wanju 55317, Republic of Korea ASCT 2023; 32(5): 114-117
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• Enhancement of Light-Harvesting Ability on Perovskite Films via Preheated Substrates

  
  Jaewon Oh , Hyunbok Lee , and Mee-Yi Ryu Department of Physics, Kangwon National University, Chuncheon 24341, Republic of Korea ASCT 2023; 32(5): 110-113
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• Study on the Value-Added Carbon Products from Methane Pyrolysis with the Thermal Plasma Process

  
  Hyeokjun Kang , Jeong-Hwan Oh , Yong Hee Lee et al. ^aFaculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea
  ^bElectric Energy Research Center, Jeju National University, Jeju 63243, Republic of Korea
  ^cDepartment of Nuclear and Energy Engineering, Jeju National University, Jeju 63243, Republic of Korea ASCT 2024; 33(1): 13-17
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