Zobrazeno 1 - 10
of 192
pro vyhledávání: '"YoungSeok Kim"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract A method for the characterization of organic electrochemical transistors (OECTs) based on small signal analysis is presented that allows to determine the electronic mobility as a function of continuous gate potential using a standard two-cha
Externí odkaz:
https://doaj.org/article/feafe998e4864e7192520bfe876b52e0
Autor:
Mariavittoria Craighero, Qifan Li, Zijin Zeng, Chunghyeon Choi, Youngseok Kim, Hyungsub Yoon, Tiefeng Liu, Przemyslaw Sowinski, Shuichi Haraguchi, Byungil Hwang, Besira Mihiretie, Simone Fabiano, Christian Müller
Publikováno v:
Advanced Science, Vol 11, Iss 38, Pp n/a-n/a (2024)
Abstract Thermoelectric textile devices represent an intriguing avenue for powering wearable electronics. The lack of air‐stable n‐type polymers has, until now, prevented the development of n‐type multifilament yarns, which are needed for texti
Externí odkaz:
https://doaj.org/article/76d681b388e94cb783d9dc10c1ab7985
Autor:
Neereja Sundaresan, Theodore J. Yoder, Youngseok Kim, Muyuan Li, Edward H. Chen, Grace Harper, Ted Thorbeck, Andrew W. Cross, Antonio D. Córcoles, Maika Takita
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Quantum error correction offers a promising path for performing high fidelity quantum computations. Although fully fault-tolerant executions of algorithms remain unrealized, recent improvements in control electronics and quantum hardware ena
Externí odkaz:
https://doaj.org/article/456e91f348ec45fca041885a080b3f55
Publikováno v:
Agriculture, Vol 14, Iss 3, p 429 (2024)
Anthropogenic nitrogen (N) inputs can have detrimental environmental effects, necessitating a comprehensive understanding of the nitrogen budget (NB) and its spatial correlation with the water quality. This study, utilizing a 2016 dataset, scrutinize
Externí odkaz:
https://doaj.org/article/189b7a412c014c9fa59688a6f31bd3c3
Autor:
Eun-Jung Kim, Jieun Woo, Seoungwoo Shin, HaeBeen Choi, Youngseok Kim, Junoh Kim, Chanhee Kang
Publikováno v:
Animal Cells and Systems, Vol 26, Iss 6, Pp 310-317 (2022)
ABSTRACTNatural products and their derivatives historically represent alternatives to conventional synthetic molecules for pharmacotherapy, ranging from cancer chemotherapeutics to cosmetic ingredients that exert anti-aging activities. Cellular senes
Externí odkaz:
https://doaj.org/article/642133b096614e81a37fecaca57f1f10
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12317 (2023)
Amid the ongoing global warming crisis, there has been growing interest in hydrogen energy as an environmentally friendly energy source to achieve carbon neutrality. A stable and large-scale hydrogen storage infrastructure is essential to satisfy the
Externí odkaz:
https://doaj.org/article/c9e79ea06e41447aa6c02001bb836acd
Publikováno v:
Machines, Vol 11, Iss 11, p 1012 (2023)
Ensuring the operational safety and reliability of rotary machinery systems, especially in oil plants, has become a focal point in both academic and industry arenas. Specifically, in terms of key rotary machinery components such as shafts, the diagno
Externí odkaz:
https://doaj.org/article/59ffd35460324a37b592c07b52306487
Autor:
Ji-Seon Kim, Hyun-Jeong Lee, Eun-Jeong Yoon, Hyunsang Lee, Youngeun Ji, Youngseok Kim, Si-Jun Park, Junoh Kim, Seunghee Bae
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11681 (2023)
Plant-derived exosomes can exert therapeutic effects against various dermatological conditions. Several studies have demonstrated that plant-derived exosomes can have positive effects on the skin, preventing aging, hyperpigmentation, and hair loss. I
Externí odkaz:
https://doaj.org/article/3a28e5d03c6c4ee683d6ec82914fe7c4
Publikováno v:
Advanced Materials Interfaces, Vol 10, Iss 4, Pp n/a-n/a (2023)
Abstract This study proposes using microalgae‐containing carbohydrate bioactives, an Euglena gracilis‐derived extracellular microvesicle (EMVEG) system, for enhanced skin regeneration. The critical deformation ratio, 1.67, during cell extrusion e
Externí odkaz:
https://doaj.org/article/7e2bf4b7353e4857b94515ce04253d13
Autor:
Youngseok Kim, Tayfun Gokmen, Hiroyuki Miyazoe, Paul Solomon, Seyoung Kim, Asit Ray, Jonas Doevenspeck, Raihan S. Khan, Vijay Narayanan, Takashi Ando
Publikováno v:
Frontiers in Nanotechnology, Vol 4 (2022)
We demonstrate a modified stochastic gradient (Tiki-Taka v2 or TTv2) algorithm for deep learning network training in a cross-bar array architecture based on ReRAM cells. There have been limited discussions on cross-bar arrays for training application
Externí odkaz:
https://doaj.org/article/9b3ecb71244f46f89b52966b0c92a2a0