Zobrazeno 1 - 10
of 3 415
pro vyhledávání: '"Park, So‐Hyeon"'
Autor:
Park, Seong Hyeon, Choi, Gahyun, Kim, Eunjong, Park, Gwanyeol, Choi, Jisoo, Choi, Jiman, Chong, Yonuk, Lee, Yong-Ho, Hahn, Seungyong
Recent advances in quantum information processing with superconducting qubits have fueled a growing demand for scaling and miniaturizing circuit layouts. Despite significant progress, accurately predicting the Hamiltonian of complex circuits remains
Externí odkaz:
http://arxiv.org/abs/2410.24004
Excited-state molecular dynamics (ESMD) simulations near conical intersections (CIs) pose significant challenges when using machine learning potentials (MLPs). Although MLPs have gained recognition for their integration into mixed quantum-classical (
Externí odkaz:
http://arxiv.org/abs/2410.22801
Autor:
Azarov, Alexander, Fernández, Javier García, Zhao, Junlei, He, Ru, Park, Ji-Hyeon, Jeon, Dae-Woo, Prytz, Øystein, Djurabekova, Flyura, Kuznetsov, Andrej
Disorder-induced ordering and unprecedentedly high radiation tolerance in $\gamma$-phase of gallium oxide is a recent spectacular discovery at the intersection of the fundamental physics and electronic applications. Importantly, by far, these data we
Externí odkaz:
http://arxiv.org/abs/2409.17829
Autor:
Nam, Jaehyun, Song, Woomin, Park, Seong Hyeon, Tack, Jihoon, Yun, Sukmin, Kim, Jaehyung, Oh, Kyu Hwan, Shin, Jinwoo
Learning with a limited number of labeled data is a central problem in real-world applications of machine learning, as it is often expensive to obtain annotations. To deal with the scarcity of labeled data, transfer learning is a conventional approac
Externí odkaz:
http://arxiv.org/abs/2408.11063
Autor:
Ko, Seungchan, Park, Sang Hyeon
Physics-informed neural networks (PINNs) have recently emerged as a promising way to compute the solutions of partial differential equations (PDEs) using deep neural networks. However, despite their significant success in various fields, it remains u
Externí odkaz:
http://arxiv.org/abs/2406.06287
Abnormal driver states, particularly have been major concerns for road safety, emphasizing the importance of accurate drowsiness detection to prevent accidents. Electroencephalogram (EEG) signals are recognized for their effectiveness in monitoring a
Externí odkaz:
http://arxiv.org/abs/2312.09461
Autor:
Park, Seong Hyeon, Choi, Gahyun, Kim, Gyunghun, Jo, Jaehyeong, Lee, Bumsung, Kim, Geonyoung, Park, Kibog, Lee, Yong-Ho, Hahn, Seungyong
Engineering the admittance of external environments connected to superconducting qubits is essential, as increasing the measurement speed introduces spontaneous emission loss to superconducting qubits, known as Purcell loss. Here, we report a broad b
Externí odkaz:
http://arxiv.org/abs/2310.13282
Vision-language (VL) pre-training has recently gained much attention for its transferability and flexibility in novel concepts (e.g., cross-modality transfer) across various visual tasks. However, VL-driven segmentation has been under-explored, and t
Externí odkaz:
http://arxiv.org/abs/2303.14396
Publikováno v:
Current Applied Physics 50, 53-60 (2023)
By employing first-principles electronic structure calculations we investigate nickelate superlattices [LaNiO$_3$]$_1$/[LaAlO$_3$]$_1$ and [LaNiO$_3$]$_1$/[SrTiO$_3$]$_1$ with (001) orientation under epitaxial tensile strain. Within density functiona
Externí odkaz:
http://arxiv.org/abs/2302.02424
Autor:
Park, Na Hyeon, Kim, Hanna, Lee, Chanhee, Yoon, Changhoon, Lee, Seunghyeon, jin, Youngjin, Shin, Seungwon
NFT (Non-fungible Token) has drastically increased in its size, accounting for over \$16.9B of total market capitalization. Despite the rapid growth of NFTs, this market has not been examined thoroughly from a financial perspective. In this paper, we
Externí odkaz:
http://arxiv.org/abs/2303.09393