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Jong Min Yuk

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

223

TOTAL CITATIONS

2

Scholarly Papers (3)

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1.

Rational Design of Hybrid Electrolyte for All-Solid-State Lithium Battery Based on Investigation of Lithium-Ion Transport Mechanism

Downloads 97 (704,534)

Rational Design of Hybrid Electrolyte for All-Solid-State Lithium Battery Based on Investigation of Lithium-Ion Transport Mechanism

Number of pages: 32 Posted: 25 Mar 2024
Jinkyu Park, Yoonsu Shim, Joon Ha Jang, Se-Hee Kim, Yongku Kang, Jin Woong Lee, Dae Soo Jung, Jong Min Yuk, Chan-woo Lee and Jungdon Suk
affiliation not provided to SSRN, affiliation not provided to SSRN, Research Institute of Industrial Science and Technology, affiliation not provided to SSRN, Korea Research Institute of Chemical Technology (KRICT), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 76 (840,816)

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Lithium all-solid-state batteries, Hybrid polymer electrolytes, DFT calculations, Li+ ion transport

Rational Design of Hybrid Electrolyte for All-Solid-State Lithium Battery Based on Investigation of Lithium-Ion Transport Mechanism

Number of pages: 32 Posted: 15 May 2024
Jinkyu Park, Yoonsu Shim, Joon Ha Chang, Se-Hee Kim, Yongku Kang, Jin Woong Lee, Dae Soo Jung, Jong Min Yuk, Chan-woo Lee and Jungdon Suk
affiliation not provided to SSRN, affiliation not provided to SSRN, Research Institute of Industrial Science and Technology, affiliation not provided to SSRN, Korea Research Institute of Chemical Technology (KRICT), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 21 (1,486,852)

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Lithium all-solid-state batteries, Hybrid polymer electrolytes, DFT calculations, Li+ ion transport

2.

Machine Learning Assisted Synthesis of Lithium-Ion Batteries Cathode Materials

Number of pages: 19 Posted: 06 Dec 2021
Chi Hao Liow, Hyeonmuk Kang, Seunggu Kim, Moony Na, Yongju Lee, Arthur Baucour, Kihoon Bang, Yoonsu Shim, Gyuseong Hwang, Seongwoo Cho, Gun Park, Jiwon Yeom, Joshua C. Agar, Jong Min Yuk, Jonghwa Shin, Hyuck Mo Lee, Hye Ryung Byon, EunAe Cho and Seungbum Hong
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Advanced Institute of Science and Technology (KAIST) - Department of Materials Science and Engineering, Lehigh University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Korea Advanced Institute of Science and Technology (KAIST) - Department of Materials Science and Engineering
Downloads 77 (823,616)
Citation 2

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Lithium-Ion Batteries, NCM Cathode, Inverse Design, Machine Learning, Design-To-Device Pipeline

3.

Unraveling Structure–Property Relationship in Lithium-Ion Cathodes Through Transmission Electron Microscopy Via Deep Learning

Number of pages: 24 Posted: 27 May 2024
Yoonsu Shim, Jacob Choe, Hyeonmuk Kang, Ji Su Park, Jungjae Park, Junpyo Hur, Han Beom Jeong, Namgyu Noh, Sanghyeon Ji, Jung Hyeon Moon, Junho Lee, EunAe Cho, Seungbum Hong, Jong Min Yuk and Chan-woo Lee
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Institute of Science and Technology (KIST), affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea Advanced Institute of Science and Technology (KAIST) - Department of Materials Science and Engineering, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 49 (1,086,013)

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deep learning, transmission electron microscopy, lithium-ion battery cathode, NMC, Li-rich NMC