Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Seongyoon Kim"'
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 2, Pp 488-506 (2022)
Abstract Parameter identification (PI) is a cost‐effective approach for estimating the parameters of an electrochemical model for lithium‐ion batteries (LIBs). However, it requires identifiability analysis (IA) of model parameters because identif
Externí odkaz:
https://doaj.org/article/0b9debb64de142a8b625874ffd62cf40
Autor:
Sanghoon Song, Haeun Choi, Junhwan Jeong, Seongyoon Kim, Myeonghee Kwon, Minji Kim, Donghyuk Kim, Heungbae Jeon, Hyun-jong Paik, Sungwook Chung, Wonho Kim
Publikováno v:
Polymers, Vol 15, Iss 12, p 2583 (2023)
As the world is shifting from internal combustion engine vehicles to electric vehicles in response to environmental pollution, the tire industry has been conducting research on tire performance to meet the requirements of electric vehicles. In this e
Externí odkaz:
https://doaj.org/article/32819cdf2ed841a4a8d1445406d0960a
Publikováno v:
Neurocomputing. 509:75-84
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76ac760d1fecc0521ccf97bdd55e90a1
https://doi.org/10.1016/j.neucom.2022.07.066
https://doi.org/10.1016/j.neucom.2022.07.066
Autor:
Kim, Sanghoon Song, Haeun Choi, Junhwan Jeong, Seongyoon Kim, Myeonghee Kwon, Minji Kim, Donghyuk Kim, Heungbae Jeon, Hyun-jong Paik, Sungwook Chung, Wonho
Publikováno v:
Polymers; Volume 15; Issue 12; Pages: 2583
As the world is shifting from internal combustion engine vehicles to electric vehicles in response to environmental pollution, the tire industry has been conducting research on tire performance to meet the requirements of electric vehicles. In this e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::4f2b4c57b8d8a1360aaa7b767bf6ec41
Autor:
Seongyoon Kim, Romel Hidayat, Hyeonsu Roh, Jaemin Kim, Hye-Lee Kim, Khabib Khumaini, Mira Park, Jang-Hyeon Seok, Jung Woo Park, Won-Jun Lee
Publikováno v:
Journal of Materials Chemistry C. 10:6696-6709
We studied the atomic layer deposition (ALD) of titanium oxide (TiO2) thin films using a newly developed heteroleptic titanium precursor with a linked ligand.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca2568d46e5d89fbb4c3ee2631feb82
https://doi.org/10.1039/d2tc00574c
https://doi.org/10.1039/d2tc00574c
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 2, Pp 488-506 (2022)
Parameter identification (PI) is a cost‐effective approach for estimating the parameters of an electrochemical model for lithium‐ion batteries (LIBs). However, it requires identifiability analysis (IA) of model parameters because identifiable par
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fb8ac7f1fd6e14b760ce6728e95773c
https://doi.org/10.1002/ese3.1039
https://doi.org/10.1002/ese3.1039
Publikováno v:
eTransportation. 17:100243
Early degradation prediction of lithium-ion batteries is crucial for ensuring safety and preventing unexpected failure in manufacturing and diagnostic processes. Long-term capacity trajectory predictions can fail due to cumulative errors and noise. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e21ffa497bd843aad797215638a6a4e
https://doi.org/10.1016/j.etran.2023.100243
https://doi.org/10.1016/j.etran.2023.100243
Autor:
Se-Young Yun, SeongYoon Kim
Publikováno v:
BigComp
Parallel training methods of stochastic gradient descent (SGD) for deep learning have attracted a huge attention because of excellent scalability properties. In the parallel training methods, workers and a server exchange their gradient vectors (or p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37d967b0cd7bb83e2cd5deb705a4e37a
https://doi.org/10.1109/bigcomp48618.2020.00-11
https://doi.org/10.1109/bigcomp48618.2020.00-11
Publikováno v:
Applied Energy. 308:118317
This paper proposes a fully unsupervised methodology for the reliable extraction of latent variables representing the characteristics of lithium-ion batteries (LIBs) from electrochemical impedance spectroscopy (EIS) data using information maximizing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a45f9f6c81850edb1d18bfa62aaee925
https://doi.org/10.1016/j.apenergy.2021.118317
https://doi.org/10.1016/j.apenergy.2021.118317
Autor:
Dip K. Nandi, Min-Young Lee, Yewon Kim, Tae Hyun Kim, Seongyoon Kim, Won-Jun Lee, Romel Hidayat, Soo-Hyun Kim
Publikováno v:
Applied Surface Science. 563:150373
Atomic layer deposition (ALD) of metals and metal nitrides consist a major portion of the advanced thin film deposition technology owing to their wide applications in the field of the semiconductor industry. In this regard, the ALD of tungsten (W) is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52010090a9fe1abe40f6216b976f689f
https://doi.org/10.1016/j.apsusc.2021.150373
https://doi.org/10.1016/j.apsusc.2021.150373