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    <title>ScholarWorks Community:</title>
    <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/670</link>
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        <rdf:li rdf:resource="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212746" />
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        <rdf:li rdf:resource="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219416" />
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    <dc:date>2026-07-24T22:40:48Z</dc:date>
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  <item rdf:about="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212746">
    <title>Contextual quantum metrology (vol 10, 68, 2024)</title>
    <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212746</link>
    <description>Title: Contextual quantum metrology (vol 10, 68, 2024)
Authors: Jae, Jeongwoo; Lee, Jiwon; Kim, M.S.; Lee, Kwang-Geol; Lee, Jinhyoung
Abstract: Correction to: npj Quantum Informationhttps://doi.org/10.1038/s41534-024-00862-5, published online 04 July 2024 In the original article, the authors followed the standard criterion for estimation precision based on the observed Fisher information. However, the data structure of the contextual quantum metrology (coQM) framework is constructed from an operational quasiprobability model, which does not coincide with the sampling distribution of the measurements</description>
    <dc:date>2026-12-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212791">
    <title>Performance of dual-readout calorimeters for various absorbers</title>
    <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212791</link>
    <description>Title: Performance of dual-readout calorimeters for various absorbers
Authors: Jang, S.Y.; An, G.P.; Bae, J.S.; Cheon, B.G.; Cho, G.; Choi, S.Y.; Do, H.S.; Eo, Y.; Ha, S.K.; Hwang, K.H.; Jang, H.E.; Jeong, J.R.; Kim, B.K.; Kim, D.W.; Kim, G.M.; Kim, M.S.; Kim, S.H.; Kim, S.W.; Ko, S.; Lee, K.P.; Lee, H.J.; Lee, J.H.; Lee, J.S.H.; Lee, Y.J.; Ryu, M.S.; Watson, I.; Yoo, H.D.; Lee, S.W.
Abstract: Over the past two and a half decades, the dual-readout calorimeter has demonstrated excellent performance for both electromagnetic and hadronic particles, as evidenced by test beam results, and thus it is a candidate for future lepton collider experiments such as FCC-ee and CEPC. In discussions regarding calorimeters for future experiments, various types of absorbers have been proposed. In this paper, we investigated the performance of dual-readout calorimeters employing Fe, Brass, Cu, Pb, and W as absorber materials, using GEANT4 simulations. The performance of the calorimeters was studied in terms of energy resolutions for electromagnetic and hadronic particles, the characteristics of particle showers in different materials, time resolution, and different responses of the scintillation and Cherenkov signals. Based on these studies, this paper provides detailed insights into the development of particle showers within these different absorbers and presents predictions for the corresponding calorimeter performance.</description>
    <dc:date>2026-10-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219416">
    <title>scalar theory in different manifolds and their correspondence</title>
    <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219416</link>
    <description>Title: scalar theory in different manifolds and their correspondence
Authors: 오재혁</description>
    <dc:date>2026-07-09T00:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212784">
    <title>Prediction and assessment of nanoprobe for tip-enhanced Raman spectroscopy: Data-driven artificial intelligence approach</title>
    <link>https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212784</link>
    <description>Title: Prediction and assessment of nanoprobe for tip-enhanced Raman spectroscopy: Data-driven artificial intelligence approach
Authors: Suh, Hyeong Chan; Kim, Taehoon; Yi, Dong-Joon; Kim, Dong Hyeon; Kim, Sung Hyuk; Yoo, Jaekak; Bang, Seungho; Lee, Dohyeon; Kim, Ji Hong; Won, Yo Seob; Kim, Ki Kang; Jeong, Mun Seok
Abstract: In Tip-enhanced Raman spectroscopy (TERS), the geometry of the metallic tip critically governs the strength of localized surface plasmon resonance and the achievable spatial resolution, yet reliable pre-experimental quality assessment remains challenging. Conventional electrochemical etching of gold nanoprobes produces substantial geometric variability, forcing researchers to rely on post-fabrication scanning electron microscopy (SEM) verification, a costly and labor-intensive bottleneck that limits high-throughput TERS experiments. Here, we introduce an integrated explainable artificial intelligence (XAI) framework that predicts tip geometry directly from real-time electrochemical etching current signals, achieving a mean absolute percentage error of 9.47 %. Through XAI perturbation analysis, we identify the final segment of the etching current trajectory as the most informative region for predicting nanoscale tip geometry. The predicted geometries are further evaluated through finite-difference time-domain (FDTD) simulations, and experimental validation is performed using scanning tunneling microscopy-based TERS measurements on monolayer WS2. By enabling rapid screening of candidate probes, the proposed framework reduces the reliance on routine post-fabrication SEM characterization and shortens the nanoprobe development cycle, thereby improving experimental efficiency and enhancing the scalability of TERS probe development.</description>
    <dc:date>2026-06-01T00:00:00Z</dc:date>
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