Zobrazeno 1 - 10
of 483
pro vyhledávání: '"Hwang, Jinwoo"'
Autor:
Abbasi, Haris Naeem, Lee, Seunghyun, Jung, Hyemin, Gajowski, Nathan, Lu, Yi, Wang, Linus, Kim, Donghyeok, Zhou, Jie, Gong, Jiarui, Chae, Chris, Hwang, Jinwoo, Muduli, Manisha, Nookala, Subramanya, Ma, Zhenqiang, Krishna, Sanjay
The short-wave infrared (SWIR) wavelength, especially 1.55 um, has attracted significant attention in various areas such as high-speed optical communication and LiDAR systems. Avalanche photodiodes (APDs) are a critical component as a receiver in the
Externí odkaz:
http://arxiv.org/abs/2406.14433
Emergent Ferromagnetism at LaFeO3/SrTiO3 Interface Arising from Strain-induced Spin-State Transition
Autor:
Zhu, Menglin, Lanier, Joseph, Genlik, Sevim Polat, Flores, Jose G., Barbosa, Victor da Cruz Pinha, Randeria, Mohit, Woodward, Patrick M., Ghazisaeidi, Maryam, Yang, Fengyuan, Hwang, Jinwoo
Creating new interfacial magnetic states with desired functionalities is attractive for fundamental studies and spintronics applications. The emergence of interfacial magnetic phases demands the fabrication of pristine interfaces and the characteriza
Externí odkaz:
http://arxiv.org/abs/2405.12950
Autor:
Kao, I-Hsuan, Tang, Junyu, Ortiz, Gabriel Calderon, Zhu, Menglin, Yuan, Sean, Rao, Rahul, Li, Jiahan, Edgar, James H., Yan, Jiaqiang, Mandrus, David G., Watanabe, Kenji, Taniguchi, Takashi, Hwang, Jinwoo, Cheng, Ran, Katoch, Jyoti, Singh, Simranjeet
Electrical readout of magnetic states is a key to realize novel spintronics devices for efficient computing and data storage. Unidirectional magnetoresistance (UMR) in bilayer systems, consisting of a spin source material and a magnetic layer, refers
Externí odkaz:
http://arxiv.org/abs/2405.10889
Autor:
Rimal, Gaurab, Tasnim, Tanzila, Ortiz, Gabriel Calderon, Sterbinsky, George E., Hwang, Jinwoo, Comes, Ryan B.
The large spin-orbit coupling in iridium oxides plays a significant role in driving novel physical behaviors, including emergent phenomena in the films and heterostructures of perovskite and Ruddlesden-Popper iridates. In this work, we study the role
Externí odkaz:
http://arxiv.org/abs/2404.10909
Autor:
Kim, Yoonsung, Oh, Changhun, Hwang, Jinwoo, Kim, Wonung, Oh, Seongryong, Lee, Yubin, Sharma, Hardik, Yazdanbakhsh, Amir, Park, Jongse
Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world deployment faces challenges due to their limited computational resour
Externí odkaz:
http://arxiv.org/abs/2403.14353
Learned indexes use machine learning models to learn the mappings between keys and their corresponding positions in key-value indexes. These indexes use the mapping information as training data. Learned indexes require frequent retrainings of their m
Externí odkaz:
http://arxiv.org/abs/2403.11472
Autor:
Bhuiyan, A. F. M. Anhar Uddin, Meng, Lingyu, Huang, Hsien-Lien, Sarker, Jith, Chae, Chris, Mazumder, Baishakhi, Hwang, Jinwoo, Zhao, Hongping
Phase pure \b{eta}-(AlxGa1-x)2O3 thin films are grown on (001) oriented \b{eta}-Ga2O3 substrates via metalorganic chemical vapor deposition (MOCVD). By systematically tuning the precursor molar flow rates, the epitaxial growth of coherently strained
Externí odkaz:
http://arxiv.org/abs/2301.10897
Autor:
Song, Yiwen, Bhattacharyya, Arkka, Karim, Anwarul, Shoemaker, Daniel, Huang, Hsien-Lien, Roy, Saurav, McGray, Craig, Leach, Jacob H., Hwang, Jinwoo, Krishnamoorthy, Sriram, Choi, Sukwon
Ulta-wide bandgap semiconductors based on $\beta$-Ga$_2$O$_3$ offer the potential to achieve higher power switching performance, efficiency, and lower manufacturing cost than today's wide bandgap power semiconductors. However, the most critical chall
Externí odkaz:
http://arxiv.org/abs/2210.07417
Improving multi-view aggregation is integral for multi-view pedestrian detection, which aims to obtain a bird's-eye-view pedestrian occupancy map from images captured through a set of calibrated cameras. Inspired by the success of attention modules f
Externí odkaz:
http://arxiv.org/abs/2208.09211
Autor:
Jeong, Jonghu, Cho, Minyong, Benz, Philipp, Hwang, Jinwoo, Kim, Jeewook, Lee, Seungkwan, Kim, Tae-hoon
Deep learning models are increasingly deployed in real-world applications. These models are often deployed on the server-side and receive user data in an information-rich representation to solve a specific task, such as image classification. Since im
Externí odkaz:
http://arxiv.org/abs/2208.02482