Zobrazeno 1 - 10
of 1 272
pro vyhledávání: '"Tian Chuan"'
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 10, Pp 170-182 (2024)
1D/2D g-C3N5/g-C3N4 heterojunction photocatalysts were prepared by a direct thermal polymerization method using melamine and 3-amino-1，2，4-triazole as raw materials. The crystal form， chemical composition， morphology and photoelectric chemica
Externí odkaz:
https://doaj.org/article/24d4ac775a90476c92ae7f59f11b1c89
Autor:
TIAN Chuan, LI Chun, WANG Lan, ZHANG Ji-long, WU Zhao-hui, HAN Ye-liang, GAO Xue-mei, JI Jian-chen, TAN Xi-zao, ZHOU Zhi-bo, LI Duo-hong
Publikováno v:
He huaxue yu fangshe huaxue, Vol 45, Iss 4, Pp 332-340 (2023)
Uranium content measurement is very important to nuclear material accounting and product quality control in nuclear bulk facilities. It needs high accuracy and precision. In this work, 3 different measurement steps from 2 analytical standards GB 1184
Externí odkaz:
https://doaj.org/article/b2f7adba5a91452fa68d5286c7099046
Autor:
Tian, Chuan, Zhang, Yilei
This paper investigates the interactions between multiple agents within Large Language Models (LLMs) in the context of programming and coding tasks. We utilize the AutoGen framework to facilitate communication among agents, evaluating different confi
Externí odkaz:
http://arxiv.org/abs/2408.13406
Autor:
Yan Jie-ke, Wang Yu-zhen, Tian Chuan, Liu Shuang-de, Zhou Cheng-jun, He Wei-dong, Liu Xiao-li, Xu Dong-sheng, Zhang Rong-mei, Wang Hong-wei, Zhao Shengtian
Publikováno v:
Open Medicine, Vol 9, Iss 2, Pp 264-271 (2014)
Externí odkaz:
https://doaj.org/article/1b46fb2bc969434095f22fb88ec12fae
Autor:
Tian, Chuan, Urry, C. Megan, Ghosh, Aritra, Ofman, Ryan, Ananna, Tonima Tasnim, Auge, Connor, Cappelluti, Nico, Powell, Meredith C., Sanders, David B., Schawinski, Kevin, Stark, Dominic, Tremblay, Grant R.
We present a machine-learning framework to accurately characterize morphologies of Active Galactic Nucleus (AGN) host galaxies within $z<1$. We first use PSFGAN to decouple host galaxy light from the central point source, then we invoke the Galaxy Mo
Externí odkaz:
http://arxiv.org/abs/2212.09984
Autor:
Ghosh, Aritra, Urry, C. Megan, Mishra, Aayush, Perreault-Levasseur, Laurence, Natarajan, Priyamvada, Sanders, David B., Nagai, Daisuke, Tian, Chuan, Cappelluti, Nico, Kartaltepe, Jeyhan S., Powell, Meredith C., Rau, Amrit, Treister, Ezequiel
Publikováno v:
The Astrophysical Journal 953.2 (2023): 134
We use the Galaxy Morphology Posterior Estimation Network (GaMPEN) to estimate morphological parameters and associated uncertainties for $\sim 8$ million galaxies in the Hyper Suprime-Cam (HSC) Wide survey with $z \leq 0.75$ and $m \leq 23$. GaMPEN i
Externí odkaz:
http://arxiv.org/abs/2212.00051
Autor:
Peca, Alessandro, Cappelluti, Nico, Urry, Meg, LaMassa, Stephanie, Marchesi, Stefano, Ananna, Tonima, Baloković, Mislav, Sanders, David, Auge, Connor, Treister, Ezequiel, Powell, Meredith, Turner, Tracey Jane, Kirkpatrick, Allison, Tian, Chuan
We present X-ray spectral analysis of XMM and Chandra observations in the 31.3 deg$^2$ Stripe-82X (S82X) field. Of the 6181 X-ray sources in this field, we analyze a sample of 2937 active galactic nuclei (AGN) with solid redshifts and sufficient coun
Externí odkaz:
http://arxiv.org/abs/2210.08030
Graphene serves as an ideal platform to investigate the microscopic structure and reaction kinetics at the graphitic electrode interfaces. However, graphene is susceptible to various extrinsic factors, e.g. substrate, causing much confusion and contr
Externí odkaz:
http://arxiv.org/abs/2207.08149
Autor:
Ghosh, Aritra, Urry, C. Megan, Rau, Amrit, Perreault-Levasseur, Laurence, Cranmer, Miles, Schawinski, Kevin, Stark, Dominic, Tian, Chuan, Ofman, Ryan, Ananna, Tonima Tasnim, Auge, Connor, Cappelluti, Nico, Sanders, David B., Treister, Ezequiel
Publikováno v:
The Astrophysical Journal 935.2 (2022): 138
We introduce a novel machine learning framework for estimating the Bayesian posteriors of morphological parameters for arbitrarily large numbers of galaxies. The Galaxy Morphology Posterior Estimation Network (GaMPEN) estimates values and uncertainti
Externí odkaz:
http://arxiv.org/abs/2207.05107
Understanding how microbes interact with each other is key to revealing the underlying role that microorganisms play in the host or environment and to identifying microorganisms as an agent that can potentially alter the host or environment. For exam
Externí odkaz:
http://arxiv.org/abs/2207.00984