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Akademický článek

Possibilities of Controlling the Quantum States of Hole Qubits in an Ultrathin Germanium Layer Using a Magnetic Substrate: Results from ab Initio Calculations

Autor: Andrey N. Chibisov, Mary A. Chibisova, Anastasiia V. Prokhorenko, Kirill V. Obrazcov, Aleksandr S. Fedorov, Yang-Xin Yu

Publikováno v: Nanomaterials, Vol 13, Iss 23, p 3070 (2023)

Using density functional theory in the noncollinear approximation, the behavior of quantum states of hole qubits in a Ge/Co:ZnO system was studied in this work. A detailed analysis of the electronic structure and the distribution of total charge dens

Externí odkaz: https://doaj.org/article/ea9bd3902b9549e5bb8279e3fa422402

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Akademický článek

Quantum capacitance, electrostatic potential, electronic and structural data for bare and functionalized niobium carbide MXenes

Autor: Yan Xin, Yang-Xin Yu

Publikováno v: Data in Brief, Vol 15, Iss , Pp 623-637 (2017)

The data reported in this article are structural and physicochemical properties for bare and F, O, OH and CH3O-functionalized Nbn+1Cn (n = 1, 2, 3 and 4) MXenes. The structural properties are presented as top views and side views from the X direction

Externí odkaz: https://doaj.org/article/7272984640b4453fbc8b7a637e7d7304

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Akademický článek

Efficient and Reversible Electron Doping of Semiconductor-Enriched Single-Walled Carbon Nanotubes by Using Decamethylcobaltocene

Autor: Jian-Long Xu, Rui-Xuan Dai, Yan Xin, Yi-Lin Sun, Xian Li, Yang-Xin Yu, Lan Xiang, Dan Xie, Sui-Dong Wang, Tian-Ling Ren

Publikováno v: Scientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)

Abstract Single-walled carbon nanotubes (SWCNTs) offer great potential for field-effect transistors and integrated circuit applications due to their extraordinary electrical properties. To date, as-made SWCNT transistors are usually p-type in air, an

Externí odkaz: https://doaj.org/article/ff821b25134746aab5a61337bcfde152

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Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation

Autor: Pang, Jing-Cheng, Yang, Xin-Yu, Yang, Si-Hang, Yu, Yang

Natural Language-conditioned reinforcement learning (RL) enables the agents to follow human instructions. Previous approaches generally implemented language-conditioned RL by providing human instructions in natural language (NL) and training a follow

Externí odkaz: http://arxiv.org/abs/2302.09368

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Akademický článek

The identification of metabolites from gut microbiota in coronary heart disease via network pharmacology.

Autor: Zhou, Hao-Ming¹ (AUTHOR), Yang, Xin-Yu² (AUTHOR), Yue, Shi-Jun^1,3 (AUTHOR) shijun_yue@163.com, Wang, Wen-Xiao³ (AUTHOR), Zhang, Qiao¹ (AUTHOR), Xu, Ding-Qiao¹ (AUTHOR), Li, Jia-Jia¹ (AUTHOR), Tang, Yu-Ping¹ (AUTHOR) yupingtang@sntcm.edu.cn

Publikováno v: Artificial Cells, Nanomedicine & Biotechnology. Dec2024, Vol. 52 Issue 1, p145-155. 11p.

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