Výsledky vyhledávání - "Wang,Honghong"

Report

Light-Induced Subpicosecond Topological Phase Transition by Tuning Magnetic Order in Antiferromagnetic Dirac Semimetal EuAgAs

Autor: Liu, Hao, Zhang, Chen, Wu, Qi-Yi, Jin, Yahui, Zhu, Ziming, Song, Jiao-Jiao, Wang, Honghong, Chen, Bo, He, Jun, Liu, Hai-Yun, Duan, Yu-Xia, Oppeneer, Peter M., Meng, Jian-Qiao

We report the observation of a light-induced subpicosecond topological phase transition in the antiferromagnetic Dirac semimetal EuAgAs, achieved through precise manipulation of its magnetic configuration. Using ultrafast optical spectroscopy, we pro

Externí odkaz: http://arxiv.org/abs/2411.10756

Zobrazit plný text záznamu

Report

Thermoelectric signature of quantum criticality in the heavy-fermion superconductor CeRhIn$_5$

Autor: Cao, Zi-Yu, Wang, Honghong, Park, Chan-Koo, Park, Tae Beom, Jang, Harim, Seo, Soonbeom, Kim, Sung-Il, Park, Tuson

The evolution of the Fermi surface across the quantum critical point (QCP), which is relevant for characterizing the quantum criticality and understanding its relation with unconventional superconductivity, is an intriguing subject in the study of st

Externí odkaz: http://arxiv.org/abs/2408.13604

Zobrazit plný text záznamu

Report

Evidence for charge delocalization crossover in the quantum critical superconductor CeRhIn$_5$

Autor: Wang, Honghong, Park, Tae Beom, Kim, Jihyun, Jang, Harim, Bauer, Eric D., Thompson, Joe D., Park, Tuson

Publikováno v: Nat Commun 14, 7341 (2023)

The nature of charge degrees-of-freedom distinguishes scenarios for interpreting the character of a second order magnetic transition at zero temperature, that is, a magnetic quantum critical point (QCP). Heavy-fermion systems are prototypes of this p

Externí odkaz: http://arxiv.org/abs/2311.08928

Zobrazit plný text záznamu

Akademický článek

Calibration Set Optimization by Dragonfly Algorithm for Near-Infrared Modeling of Wheat Flour Protein Content

Autor: HU Yunchao, LIU Zhijian, WANG Ying, HUANG Haoran, WANG Honghong, WU Cai’e, XIONG Zhixin

Publikováno v: Shipin Kexue, Vol 45, Iss 9, Pp 9-15 (2024)

In order to optimize the calibration set for near-infrared modeling of the protein content in wheat flour, the binary dragonfly algorithm (BDA) was used to select representative samples from the primary calibration set divided by the traditional Kenn

Externí odkaz: https://doaj.org/article/647c5bb9c1a341c38602b8b9da69dd4f