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Raman signatures of spin-phonon coupling in a self-intercalated van der Waals magnet Mn3Si2Te6
Kwon Chang Il,Kim Kwangrae,Kim So Young,Susilo Resta A.,Kang Beomtak,Kim Kyoo,Kim Duck Young,Kim Jonghwan,Kim B.J.,Kim Jun Sung 한국물리학회 2023 Current Applied Physics Vol.53 No.-
We report the results of Raman spectroscopy on a self-intercalated van der Waals ferrimagnet Mn3Si2Te6. Using polarization-resolved Raman spectroscopy, we identify twelve phonon modes with Eg and A1g symmetries, in agreement with the first principle calculations. Below the ferrimagnetic transition temperature Tc ∼ 78 K, we observed a significant deviation of the phonon frequency from the anharmonic model, accompanied by a strong line broadening, indicating a substantial spin-phonon coupling in Mn3Si2Te6. Among twelve phonon modes, this spin-phonon coupling is found to be strong mostly in the out-of-plane vibrational modes. These results highlight the dominant role of the interlayer superexchange interaction in determining the magnetic properties, reflecting the self-intercalated van der Waals structure of Mn3Si2Te6.
Kim Saekyeol,Kim Shinyu,Choi Taeheok,Kwon Taejoon,Lee Tae Hee,Lee Kwangrae 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.4
Although many routing algorithms have been developed, it is difficult for designers in the automotive industry to adopt them because of the complicated preliminary steps that are required. This study presents a systematic framework for generating the routing layout of the tubes, hoses, and cable harnesses in a commercial truck. The routing layout design problem in a commercial truck is analysed and defined. For routing operations, a sequential graph-based routing algorithm is employed to rapidly provide a routing solution. Because a reference routing layout design does not exist in most engineering problems, a cell-based genetic algorithm combined with a modified maze algorithm is employed to generate a reference design. To consider the clamping condition of the routing components, a new fitness function in the genetic algorithm is implemented. The numerical study shows that the proposed routing algorithm provides a better reference routing layout design than the conventional algorithm. The proposed automatic design system was applied to the routing layout design problem of a commercial truck. It was demonstrated that the proposed framework satisfies all industrial practitioners’ functional requirements and provides a systematic method of solving the routing layout design problem, considering all its characteristics.
Kwangrae Cho,Byung-Kwan Chu,Il-Yong Han,Chee-Mahn Shin,김영재,Soon Ho Cheong,이근무,Se Hun Lim,이정한,Myoung-Hun Kim,Hyo-Joong Kim 대한마취통증의학회 2012 Korean Journal of Anesthesiology Vol.62 No.4
Intraoperative formation and management of a thrombus in right atrium has been reported occasionally. Nevertheless, it is rare that a right atrial thrombus with unstable hemodynamic changes detected by transesophageal echocardiography is resolved spontaneously. We report upon the 44-year-old woman, who had a right atrial thrombus detected by transesophageal echocardiography during laparoscopic assisted vaginal hysterectomy and resolved during thromboembolectomy.
G-K curve-based knee point prediction method for Li-ion batteries
Kwangrae Kim,Minho Kim,Huiyong Chun,Gyeonghwan Lee,Soohee Han 제어로봇시스템학회 2021 제어로봇시스템학회 국제학술대회 논문집 Vol.2021 No.10
Lithium-ion batteries (LIBs) are very promising energy storage devices because of their eco-friendly characteristics and economic efficiency. Because the capacity of LIBs decreases with use, predicting the pattern of capacity fade is very important for both manufacturers and users. In particular, with the recent surge in interest in battery reuse, a method that can predict the ’knee point’ phenomenon, which is a rapid decrease in capacity occurring in the later stage of battery life, is becoming more critical. This paper proposes a Gradient 1-Knee point (G-K) curve that can predict the knee point simply using long-term experimental data of Samsung SDI commercial cell (2170 NMC). This method can easily predict the knee point without using a battery model consisting of complex differential equations. Therefore, the proposed G-K curve allows us to estimate the approximate knee point even on practical devices with limited computational power.
김성룡(Seong-Lyong Kim),이준호(Junho Lee),김인선(Insun Kim),조광래(KwangRae Cho) 한국항공우주학회 2004 韓國航空宇宙學會誌 Vol.32 No.8
2002년 11월 28일 발사된 KSR-Ⅲ 과학로켓에서 공력가열로 인한 온도상승을 측정하였으며, 로켓 외피의 온도 및 공력가열량을 계산하였다. 계산에 사용된 소프트웨어는 이론식에 기초한 경계층을 해석하여 비행시간동안 비정상 공력가열량을 계산하는 MINIVER 코드이며, 비행체 내부로의 일차원 고체 열전도까지 고려하였다. 계산 결과 비행체 내부 페이로드 장착부분의 열전달은 대부분 복사로 이루어지고, 공력가열로 인한 KSR-Ⅲ 외피 최 고온도는 핀에서 223℃이며 최대 공력가열은 노즈캡에서 133㎾/㎡이었다. 중요부분에서 재질의 허용온도를 만족하였으며 외피 단열재 설계가 적절히 이루어졌음이 확인되었다. The inner surface temperatures of the KSR-Ⅲ Sounding Rocket launched at 29th November 2002 were measured in the flight test, and the aerodynamic heating rate and outer surface temperature were calculated. The used program is the MINIVER code, which calculate the boundary layer equation based on the theoretical analysis, and its calculation is simulated on the flight time histories. The analysis considered the inner surface heat transfer with one dimensional solid heat conduction. The results showed that the major interior heat transfer is the radiation heat transfer, and the maximum outer surface temperature due to aerodynamic heating reached to 223℃ at fin and the maximum heating rate is about 133㎾/㎡ at nose cap. The whole analysis proved that the surface temperature remained below the allowable temperature, and the KSR-Ⅲ thermal design satisfies the thermal environmental conditions.
Molecular networks underlying ovarian aging for clinical applications
YoungHo Roh,SookRyung Kim,EunJung Choi,YoungJoo Kim,HyangGi Park,PureunNarae Kang,DaJung Chung,NaYoung Kim,MinJae Kim,AeRa Han,KwangRae Kim,Chan Park,YongPil Cheon,YoungJin Lee 한국발생생물학회 2017 한국발생생물학회 학술발표대회 Vol.2017 No.8
Due to modern trends with postponing child-bearing and getting worse living environment in women, an ovarian aging increased pregnancy failure and other complications with menopause or premature ovarian failure. Although several theories have been suggested such as mitochondrial malfunction, DNA damage/repair/methylation, caloric restriction, studies regarding ovarian aging-related molecular mechanisms for development of therapeutic methods are insufficient so far. Our objective is to determine molecular pathways of ovarian aging that result in pregnancy failure and other complications in women health to develop treatment strategies. This study is consisted of two parts: in Phase I stage, we analyzed distinct gene expression profile between young and aged mouse ovaries, and in Phase II stage several preferentially expressed genes in both ovaries were selected and analyzed their physiological functions and involved molecular networks related to ovarian aging for development of diagnostic markers and therapeutic methods. Ovaries from 10 week and 11 month-old FVB/NJ female mice with synchronized estrus cycle were collected for this study. A half of each ovary was used for RNA preparation and the other half for histological analysis. Using the Illumina HiSeq 2000 System, preferentially expressed genes were identified. Functional annotation database-based gene-set enrichment analyses and Pathway Studio® were employed to evaluate aging-related molecular networks. These findings were confirmed through qRT-PCR and immunohistochemistry. To validate RNA-Seq data, we examined expression patterns of marker genes (Amh, Bmp15 and Nobox) that were wellknown to be decreased in ovarian aging process. In young or aged ovary, preferentially expressed 876 genes were identified and extracellular matrix (ECM; p<0.001) and chromatin/nucleosome-related (p<0.001) protein-coded genes have the majority in these genes by GOTERM analysis. Amongthem, we selected several candidate genes and confirmed their expression profiles by qRT-PCR and immunohistochemistry followed by molecular network analysis. Regarding molecular interactions in these genes, PathwayStudio® was employed to predict aging-involved molecular networks in mouse ovary. Here we report a couple of candidate molecular networks and medicines (chemicals) for targeting these preferentially expressed genes/proteins. Further analyses are scheduled to produce transgenic animal models and with human ovarian tissues/cell lines.