Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Fangzhou Jin"'
Autor:
Yongkang Zhang, Jie Zheng, Fangzhou Jin, Jie Xiao, Ni Lan, Zhiyuan Xu, Xu Yue, Zesen Li, Chengzhi Li, Donglin Cao, Yifei Wang, Wenbin Zhong, Yang Ran, Bai-Ou Guan
Publikováno v:
Light: Science & Applications, Vol 13, Iss 1, Pp 1-16 (2024)
Abstract Chemotherapy is one of the conventional treatments for cancer in clinical practice. However, poor delivery efficiency, systemic toxicity, and the lack of pharmacokinetic monitoring during treatment are the critical limitations of current che
Externí odkaz:
https://doaj.org/article/31f78dc6d16549bda6fd0561c1785289
Publikováno v:
Photonic Sensors, Vol 14, Iss 4, Pp 1-32 (2024)
Abstract Cancer has been one of the most serious diseases, resulting in more than 10 million deaths every year. Fiber-optic sensors have great potential for diagnosing and treating cancer due to their flexibility, precise positioning, real-time monit
Externí odkaz:
https://doaj.org/article/61b9756747d1410c96c70300c91a094e
Publikováno v:
Physics Letters B, Vol 852, Iss , Pp 138632- (2024)
Here we present a superadiabatic scheme on a quantum computer to quickly prepare the ground state of the Agassi model, a typical quadrupole plus pairing model with broad applications in nuclear physics as well as many-body systems. By virtue of the F
Externí odkaz:
https://doaj.org/article/35e47334eb294fd8a377ac39dd8aeecc
Publikováno v:
New Journal of Physics, Vol 26, Iss 1, p 013041 (2024)
Quantum state transfer (QST) plays a central role in the field of quantum computation and communication, but its quality will be deteriorated by the ubiquitous variations and noise in quantum systems. Here we propose robust and nonadiabatic protocols
Externí odkaz:
https://doaj.org/article/17b1439d1c984b31bcd8d070af981327
Autor:
Weiping Liu, Fangzhou Jin
Publikováno v:
International Journal of Analytical Chemistry, Vol 2022 (2022)
In order to study the needs of identifying rock thin-section samples by manual observation in the field of geology, a method of electrochemical intelligent recognition of mineral materials based on superpixel image segmentation is proposed. The image
Externí odkaz:
https://doaj.org/article/9aedb45116724110a206618195c2d149
Publikováno v:
Nanomaterials, Vol 10, Iss 9, p 1631 (2020)
In this work, the hierarchical porous Ni1.5Co1.5S4/g-C3N4 composite was prepared by growing Ni1.5Co1.5S4 nanoparticles on graphitic carbon nitride (g-C3N4) nanosheets via a hydrothermal route. Due to the self-assembly of larger size g-C3N4 nanosheets
Externí odkaz:
https://doaj.org/article/ceab87ded05647858b8cf6424caa5acf
Autor:
WEIPING LIU1 bowei9963@163.com, FANGZHOU JIN1
Publikováno v:
Nonlinear Optics, Quantum Optics: Concepts in Modern Optics. 2024, Vol. 59 Issue 1/2, p137-148. 12p.
Autor:
Yang Wu, Minfeng Chen, Jiexuan Cai, Zhiyuan Xu, Fangzhou Jin, Yongkang Zhang, Wei Wang, Yang Ran, Dongmei Zhang, Bai-Ou Guan
Publikováno v:
IEEE Sensors Journal. 22:22646-22653
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Coatings; Volume 13; Issue 5; Pages: 885
In this study, monodispersed NiSe@Ni particles were successfully anchored on graphene sheets by electroless nickel plating combined with a chemical-vapor-reaction process, in which the nickel particles were first deposited onto graphene sheets and su