https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/663 2026-07-21T10:06:23Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212746 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 2026-12-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212791 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. 2026-10-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/219159 Title: Chaotrope-assisted aqueous depolymerization of polycarbonate with spontaneous catalyst regeneration Authors: Park, Seungjoo; Lee, Hyunmin; Vu, Thanh Van; Kang, Youngjong Abstract: Aqueous chemical recycling of condensation polymers represents an ideal pathway for a circular economy, yet its implementation is severely hindered by the profound hydrophobic barrier at the polymer-water interface. Herein, we report a chaotropic salt-assisted aqueous depolymerization system that overcomes this limitation. We demonstrate that chaotropic ions (e.g., guanidinium) enhance wetting and polymer-water interfacial accessibility of hydrophobic polycarbonate (PC), thereby enabling efficient depolymerization over an Fe/MgO catalyst under mild conditions (100°C, 1 atm). While conventional batch recycling leads to catalyst deactivation via densification of carbonate species, we discovered that transitioning to an in situ one-pot sequential-feeding process promotes carbonate-mediated surface renewal and improves long-term catalyst stability. Detailed structural analysis reveals that the reaction-derived carbonate ions drive the selective surface segregation of iron species, forming active Fe2O3 nanoparticles on the catalyst exterior. This process effectively turns the typically detrimental phase transformation into a beneficial surface renewal mechanism. Consequently, the system achieved long-term stability (>10 days) processing a cumulative polymer load exceeding 100 times the catalyst mass with quantitative conversion and high monomer yield. 2026-10-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/218422 Title: Augmentation of vibrational spectroscopic datasets using local covariance-based sampling in latent space to make prediction models that are more tolerant to spectral variations caused by the physical properties of samples Authors: Jeong, Haeseong; Peerapattana, Jomjai; Yang, Seung Jee; Chung, Hoeil Abstract: An augmentation strategy for vibrational spectroscopic datasets using local covariance-based sampling in latent space is investigated to build a prediction model that is more tolerant to the spectral variation of samples caused by their physical properties. The strategy is based on the expansion of an original training dataset by adding newly generated spectra that go beyond the boundary of the original domain and the use of the expanded dataset for modeling. In this way, the generated spectra in the expanded domain emulate variations in the spectra caused by the physical properties of the sample. A data augmentation method that simultaneously leverages the capabilities of the Synthetic Minority Oversampling Technique (SMOTE) and the Mixup, called Local Covariance-based Augmentation (LoCA), is developed. To evaluate the utility of LoCA, Raman spectra of paracetamol tablets with four different packing densities and near-infrared (NIR) spectra of bovine serum albumin (BSA) powder samples with three different particle sizes are employed. The incorporation of LoCA-generated spectra for training is effective in building models for predicting the paracetamol and BSA concentrations that are more tolerant to variations in the spectra induced by differences in packing density and particle size, respectively. In overall, LoCA combining the local geometry-awareness of SMOTE and the input–output joint interpolation of Mixup for the augmentation in a latent space is beneficial to secure accuracy for vibrational spectroscopic analysis of solid samples under variation of their physical presentations. 2026-09-01T00:00:00Z