Zobrazeno 1 - 10
of 19 290
pro vyhledávání: '"Suna An"'
The BCJ duality between color and kinematics brings two advantages to calculating multi-loop scattering amplitudes. First the number of ordered cuts that need to be performed to fix the integrand to a gauge theory is minimal -- reducing the factorial
Externí odkaz:
http://arxiv.org/abs/2408.07780
Autor:
Zhao, Yiding, Hu, D., Shao, M., Zhou, Y., Lv, S., Tian, Xiangqi, Wang, Anqi, Lin, Xueshen, Pang, Hao, Suna, Y.
To meet the need for a high counting rate and high time resolution in future high-energy physics experiments, a prototype of a gas photodetector with an RPC structure was developed. Garfield++ simulated the detector's performance, and the single phot
Externí odkaz:
http://arxiv.org/abs/2407.19720
The paper reports an empirical study of the effect of human treatment of a robot on the social perception of the robot's behavior. The study employed an enacted interaction between an anthropomorphic "waiter" robot and two customers. The robot and on
Externí odkaz:
http://arxiv.org/abs/2406.17641
Autor:
Suna An, Ji Chul Jung
Publikováno v:
Case Studies in Thermal Engineering, Vol 21, Iss , Pp 100694- (2020)
We reported a kinetic modeling of thermal reactor in Claus process using CHEMKIN-PRO software. Five hypothetical acid gases with different H2S and NH3 contents were selected and analyzed with a focus on the reaction kinetics occurring in thermal reac
Externí odkaz:
https://doaj.org/article/fb13596d4bfe4b08a8ec6aca8fff6a1c
Mining multi-modal communication patterns in interaction with explainable and non-explainable robots
Autor:
Bensch, Suna, Eriksson, Amanda
Publikováno v:
IEEE RO-MAN 2023, 32nd IEEE International conference on Robot and Human Interactive Communication; Workshop Human-Robot Interaction for Explainability in Robotics, Busan, Korea, August 28-31, 2023
We investigate interaction patterns for humans interacting with explainable and non-explainable robots. Non-explainable robots are here robots that do not explain their actions or non-actions, neither do they give any other feedback during interactio
Externí odkaz:
http://arxiv.org/abs/2312.14634
Publikováno v:
ChemEngineering, Vol 5, Iss 1, p 14 (2021)
In this study, we aimed to enhance the catalytic activity of perovskite catalysts and elucidate their catalytic behavior in the oxidative coupling of methane (OCM), using alkali-added LaAlO3 perovskite catalysts. We prepared LaAlO3_XY (X = Li, Na, K,
Externí odkaz:
https://doaj.org/article/fb3f8fcd63a0470abab73cf033be7666
Autor:
Mingxin Guo, Qun Lian, Ye Mei, Wangwang Yang, Suna Zhao, Siyuan Zhang, Xinfeng Xing, Haixiang Zhang, Keying Gao, Wentong He, Zhitong Wang, Huan Wang, Jun Zhou, Lin Cheng, Zhigui Bao, Sanwen Huang, Jianbin Yan, Xusheng Zhao
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Jujube (Ziziphus jujuba Mill.), belonging to the Rhamnaceae family, is gaining increasing prominence as a perennial fruit crop with significant economic and medicinal values. Here, we conduct de novo assembly of four reference-grade genomes,
Externí odkaz:
https://doaj.org/article/ccdf3c44809146ef81cac3e15a24f2e4
Autor:
Zahn, Manuel, Beyreuther, Elke, Kiseleva, Iuliia, Lotfy, Ahmed Samir, McCluskey, Conor J., Maguire, Jesi R., Suna, Ahmet, Rüsing, Michael, Gregg, J. Marty, Eng, Lukas M.
Publikováno v:
Physical Review Applied 21(2), 024007 (2024)
Ferroelectric domain wall (DW) conductivity (DWC) can be attributed to two separate mechanisms: (a) the injection/ejection of charge carriers across the Schottky barrier formed at the (metal-) electrode-DW junction and (b) the transport of those char
Externí odkaz:
http://arxiv.org/abs/2307.10322
Autor:
Mandal, Maniratnam, Gao, Suna
Adversarial attacks pose a significant threat to the security and safety of deep neural networks being applied to modern applications. More specifically, in computer vision-based tasks, experts can use the knowledge of model architecture to create ad
Externí odkaz:
http://arxiv.org/abs/2305.08076
Autor:
Fang GENG, Suna BAI, Wenyan QI, Jinshan YU, Hua MAO, Mei ZHANG, Xueping XI, Xuefei GAO, Fugui LUO
Publikováno v:
地质科技通报, Vol 43, Iss 5, Pp 197-205 (2024)
Objective The spatial distribution of ground subsidence in the coastal area of Tianjin was predicted using a random forest machine learning model, in which the performance and significance of the variables were evaluated. Methods The random forest mo
Externí odkaz:
https://doaj.org/article/395301089324416fa960a51a246f7930