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Persistent Charge-Density-Wave Order in Single-Layer TaSe<sub>2</sub>
Ryu, Hyejin,Chen, Yi,Kim, Heejung,Tsai, Hsin-Zon,Tang, Shujie,Jiang, Juan,Liou, Franklin,Kahn, Salman,Jia, Caihong,Omrani, Arash A.,Shim, Ji Hoon,Hussain, Zahid,Shen, Zhi-Xun,Kim, Kyoo,Min, Byung Il,H American Chemical Society 2018 NANO LETTERS Vol.18 No.2
<P>We present the electronic characterization of single-layer 1H-TaSe2 grown by molecular beam epitaxy using a combined angle-resolved photoeinission spectroscopy, scanning tunneling microscopy/spectroscopy, and density functional theory calculations. We demonstrate that 3 x 3 charge-density-wave (CDW) order persists despite distinct changes in the low energy electronic. structure highlighted by the reduction in the number of-bands crossing the Fermi energy and the corresponding modification Of Fermi surface topology. Enhanced, spin-orbit coupling and lattice distortion in the single-layer play a crucial role in the formation of CDW order. Our findings provide a deeper understanding of the nature of COW order in the two-dimensional limit.</P>
Controlling the Magnetic Properties of the Van der Waals Ferromagnet Fe₃GeTe₂
Hyejin Ryu,Se Young Park,Dong Seob Kim,Yu Liu,Jinwoong Hwang,Younghak Kim,Wondong Kim,Jae-Young Kim,Cedomir Petrovic,Choongyu Hwang,Sung-Kwan Mo,Hyung-jun Kim,Byoung-Chul Min,Hyun Cheol Koo,Joonyeon C 한국자기학회 2021 한국자기학회 학술연구발표회 논문개요집 Vol.31 No.1
Identifying material parameters that affect magnetic properties of ferromagnets is key to optimize materials better suited for spintronics applications. Here, we propose an effective hole doping method to modulate the magnetic anisotropy of a van der Waals ferromagnet, and explore the physical origin of this effect. Experimental measurements of the doping and thickness dependent magnetic properties of thin Fe<sub>3-x</sub>GeTe<sub>2</sub> show a significant suppression of the magnetic anisotropy with hole doping. From the measured and calculated doping dependent electronic structure, we find that the energy gain by the spin-orbit induced band splitting is reduced by the chemical potential shift associated with hole doping, which in turn reduce the magnetic anisotropy energy. The identified mechanism provides an understanding of the doping induced modulation of magnetic properties in Fe<sub>3</sub>GeTe<sub>2</sub> thin films.
Temperature-Dependent Electron–Electron Interaction in Graphene on SrTiO<sub>3</sub>
Ryu, Hyejin,Hwang, Jinwoong,Wang, Debin,Disa, Ankit S.,Denlinger, Jonathan,Zhang, Yuegang,Mo, Sung-Kwan,Hwang, Choongyu,Lanzara, Alessandra American Chemical Society 2017 NANO LETTERS Vol.17 No.10
<P>The electron band structure of graphene on SrTiO3 substrate has been investigated as a function of temperature. The high-resolution angle-resolved photoemission study reveals that the spectral width at Fermi energy and the Fermi velocity of graphene on SrTiO3 are comparable to those of graphene on a BN substrate. Near the charge neutrality, the energy-momentum dispersion of graphene exhibits a strong deviation from the well-known linearity, which is magnified as temperature decreases. Such modification resembles the characteristics of enhanced electron electron interaction. Our results not only suggest that SrTiO3 can be a plausible candidate as a substrate material for applications in graphene-based electronics but also provide a possible route toward the realization of a new type of strongly correlated electron phases in the prototypical two-dimensional system via the manipulation of temperature and a proper choice of dielectric substrates.</P>
Charge density wave order in 2D transition metal dichalcogenides
Hyejin Ryu,Yi Chen,Miguel M. Ugeda,Heejung Kim,Yi Zhang,Hsin-Zon Tsai,Shujie Tang,Juan Jiang,Franklin Liou,Salman Kahn,Caihong Jia,Arash A. Omrani,Ji Hoon Shim,Zahid Hussain,Zhi-Xun Shen,Kyoo Kim,Byun 한국진공학회 2018 한국진공학회 학술발표회초록집 Vol.2018 No.2
동반 소비자의 유무에 따른 대기시간 지각과 기술 불안감의 상호작용이 무인 주문 결제기기 사용 의도에 미치는 영향
류혜진(HyeJin Ryu),구동모(DongMo Koo),배준희(Joonheui Bae) 한국인터넷전자상거래학회 2020 인터넷전자상거래연구 Vol.20 No.1
Kiosk is a self-service technology that enables customers to select and purchase products themselves without encountering service providers, providing convenience to consumers, and reducing labor costs for businesses. However, there are few studies on the consumer experience in the service situation where Kiosk is provided for consumers. Therefore, this study examines the effect of the interaction between perceived waiting time and technology anxiety on the intention to use Kiosk and the impact of the co-consumers who moderates this relationship, and then, investigates the effect of perceived control that mediates this relationship. An experimental study has been conducted to test the hypotheses. As a result, technology anxiety moderated the effect of perceived waiting time on the intention to use Kiosk. In addition, this relationship was found to be moderated according to the presence or absence of co-consumers, and the moderated moderation effect was significantly mediated by perceived control. The results of this study provide marketing practitioners with how technology anxiety can be reduced their negative effect on consumers when using Kiosk, that is, how users can enhance perceived control.
디지털성범죄 예방을 위한 RNN 기반 취약군 선별 체계 연구
유혜진(Hyejin Ryu),박아현(Ah-Hyun Park),박윤지(Yunji Park),이지원(Jiwon Lee),주다빈(Dabin Joo),최혜인(Hyein Choi),정두원(Doowon Jeong) 한국디지털포렌식학회 2022 디지털 포렌식 연구 Vol.16 No.1
정보통신 기술의 발달로 ‘n번방 사건’과 같은 새로운 유형의 성범죄가 성행하고 있다. 일반적으로 사이버 범죄를 예방하는 연구들은 범죄자 혹은 범죄 조직을 식별하는 프로파일링 기법을 제시하였다. 그러나 익명성을 보장하는 해외 SNS 및 메신저를 통해 피해자의 심리상태를 교묘하게 이용하여 성착취하는 디지털성범죄의 특성으로 인해 가해자의 특징을 파악할 수 있는 데이터 자체를 확보하기 어렵다. 또한, 잠재적 범죄자를 선별하는 것은 인권 침해와 관련한 문제를 야기할 수 있을 뿐만 아니라, 프로파일링 과정에서의 1종 오류는 무고한 시민을 잠재적 범죄자로 오인하여 억울한 피해자를 발생시킬 수 있다. 이에 본 논문에서는 기존 연구와는 달리 디지털성범죄를 대표적인 범죄피해 이론인 일상활동이론으로 분석하여 디지털성범죄 취약군을 선별함으로써 범죄를 예방하는 프레임워크를 제시한다. 피해자들의 SNS 게시글을 학습하여 RNN 기반의 취약군 분류기를 만들고 이를 실무적으로 활용할 수 있는 방안을 소개한다. 취약군에게 성범죄에 노출되어 있다는 사실을 인지시킴으로써 범죄자의 접근으로부터 회피할 수 있도록 유도하고 범죄 발생 시 대응 방안을 안내함으로써 증거를 빠르게 수집하고 가해자를 검거하는 데 도움이 될 수 있도록 한다. With the development of information and communication technology, new types of sexual crimes are occurring such as the "Nth room case". In general, profiling techniques have been presented to identify criminals or criminal groups to prevent cybercrime. However, it is difficult to secure data that can identify the characteristics of criminals due to the nature of digital sexual crimes that cleverly exploit victims" psychology by using foreign SNS and messengers which anonymity is guaranteed. In addition, screening potential criminals can cause problems related to human rights violations, and type 1 errors in the profiling process can treat innocent citizens as potential criminals, getting the wrong person. In this paper, we present a framework based on the routine activity theory, to detect vulnerable users, for preventing digital sexual crimes. We introduce a way to create an RNN-based vulnerable users classifier by learning the victims" SNS posts and utilize the classifier in practice. It encourages the vulnerable users to avoid criminals by recognizing that they are exposed to sexual crimes, and guides countermeasures in case of crimes so that investigators may help to quickly collect evidence and arrest the perpetrators.