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2022 연구성과별 연구자 정보 (913 / 2879)

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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Eu³⁺ ions doped lithium aluminium gadolinium borophosphate glasses: Energy transfer, optical and luminescence behaviors for red emission material Kim, H. J. Kim, HJ 4 Kyungpook Natl Univ, Dept Phys, Daegu 41566, South Korea AAE-1178-2022 Kim, Hong Joo 0000-0001-9787-4684 Kim, HongJoo natthakridta@webmail.npru.ac.th;suchart.kothan@cmu.ac.th;
Eu³⁺ ions doped lithium aluminium gadolinium borophosphate glasses: Energy transfer, optical and luminescence behaviors for red emission material Kothan, S. Kothan, S 5 교신저자 Chiang Mai Univ, Fac Associated Med Sci, Ctr Radiat Res & Med Imaging, Dept Radiol Technol, Chiang Mai 50200, Thailand natthakridta@webmail.npru.ac.th;suchart.kothan@cmu.ac.th;
Eu³⁺ ions doped lithium aluminium gadolinium borophosphate glasses: Energy transfer, optical and luminescence behaviors for red emission material Kaewkhao, J. Kaewkhao, J 6 Nakhon Pathom Rajabhat Univ, Fac Sci & Technol, Phys Program, Nakhon Pathom 73000, Thailand natthakridta@webmail.npru.ac.th;suchart.kothan@cmu.ac.th;
Eu³⁺ ions doped lithium aluminium gadolinium borophosphate glasses: Energy transfer, optical and luminescence behaviors for red emission material Kaewkhao, J. Kaewkhao, J 6 Nakhon Pathom Rajabhat Univ, Ctr Excellence Glass Technol & Mat Sci CEGM, Nakhon Pathom 73000, Thailand natthakridta@webmail.npru.ac.th;suchart.kothan@cmu.ac.th;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Shaffique, Shifa Shaffique, S 1 Kyungpook Natl Univ, Dept Appl Biosci, Daegu, South Korea KUC-7102-2024 shaffique, shifa ijlee@knu.ac.kr;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Imran, Muhammad Imran, M 2 Kyungpook Natl Univ, Dept Appl Biosci, Daegu, South Korea AFL-6590-2022 Imran, Muhammad 0000-0002-2057-3514 Muhammad, Imran ijlee@knu.ac.kr;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Wani, Shabir Hussain Wani, SH 3 Sher E Kashmir Univ Agr Sci & Technol Kashmir, Mt Res Field Crops Khudwani, Srinagar, Jamu & Kashmir, India B-4599-2014 Wani, Shabir ijlee@knu.ac.kr;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Khan, Muhamad Aqil Khan, MA 4 Kyungpook Natl Univ, Dept Appl Biosci, Daegu, South Korea ijlee@knu.ac.kr;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Kang, Sang-Mo Kang, SM 5 Kyungpook Natl Univ, Dept Appl Biosci, Daegu, South Korea MBG-7823-2025 Kang, Sang-Mo ijlee@knu.ac.kr;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Adhikari, Arjun Adhikari, A 6 Kyungpook Natl Univ, Dept Appl Biosci, Daegu, South Korea JCO-3306-2023 Adhikari, Arjun 0000-0002-9899-9849 Adhikari, Arjun ijlee@knu.ac.kr;
Evaluating the adhesive potential of the newly isolated bacterial strains in research exploitation of plant microbial interaction Lee, In-Jung Lee, IJ 7 교신저자 Kyungpook Natl Univ, Dept Appl Biosci, Daegu, South Korea GLS-0432-2022 Lee, In-Jung 0000-0001-7154-4820 Lee, In-Jung ijlee@knu.ac.kr;
Evaluating the Effectiveness of an Artificial Intelligence Model for Classification of Basic Volcanic Rocks Based on Polarized Microscope Image Sim, Ho Sim, H 1 Yonsei Univ, Dept Earth Syst Sci, Seoul 03722, South Korea yungoo@yonsei.ac.kr;
Evaluating the Effectiveness of an Artificial Intelligence Model for Classification of Basic Volcanic Rocks Based on Polarized Microscope Image Jung, Wonwoo Jung, W 2 Yonsei Univ, Dept Earth Syst Sci, Seoul 03722, South Korea yungoo@yonsei.ac.kr;
Evaluating the Effectiveness of an Artificial Intelligence Model for Classification of Basic Volcanic Rocks Based on Polarized Microscope Image Hong, Seongsik Hong, S 3 Yonsei Univ, Dept Earth Syst Sci, Seoul 03722, South Korea yungoo@yonsei.ac.kr;
Evaluating the Effectiveness of an Artificial Intelligence Model for Classification of Basic Volcanic Rocks Based on Polarized Microscope Image Seo, Jaewon Seo, J 4 Yonsei Univ, Dept Earth Syst Sci, Seoul 03722, South Korea yungoo@yonsei.ac.kr;
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