Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)

Abstract Electrical transport of both longitudinal and transverse directions carries rich information. Mobility spectrum analysis (MSA) is capable of extracting charge information from conductivity tensor, including charge types, concentration and mobilities. Using a numerical method based on maximu...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Haijun Zhao, Wenchong Li, Yue Chen, Chunqiang Xu, Bin Li, Weidong Luo, Dong Qian, Zhixiang Shi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7916f46a75054c7784dfffd30f3e876c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:7916f46a75054c7784dfffd30f3e876c
record_format	dspace
spelling	oai:doaj.org-article:7916f46a75054c7784dfffd30f3e876c2021-12-02T13:17:49ZTransport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)10.1038/s41598-021-85364-62045-2322https://doaj.org/article/7916f46a75054c7784dfffd30f3e876c2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85364-6https://doaj.org/toc/2045-2322Abstract Electrical transport of both longitudinal and transverse directions carries rich information. Mobility spectrum analysis (MSA) is capable of extracting charge information from conductivity tensor, including charge types, concentration and mobilities. Using a numerical method based on maximum entropy principle, i.e., maximum entropy mobility spectrum analysis (MEMSA), mobility spectrum for $$\beta $$ β -type PtBi $$_2$$ 2 is studied. Three hole-pockets and two electron-pockets were found, including a small hole pocket with very high mobility, which is very likely corresponding to Dirac Fermions. Benefiting from our high resolution result, we studied temperature dependence of carrier properties and explained the sign change phenomenon of Hall conductivity. We further compared the results with band structure obtained by our first principle calculation. The present results prove MEMSA is a useful tool of extracting carries’ information in recently discovered Iron-based superconductors, and topological materials.Haijun ZhaoWenchong LiYue ChenChunqiang XuBin LiWeidong LuoDong QianZhixiang ShiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Haijun Zhao Wenchong Li Yue Chen Chunqiang Xu Bin Li Weidong Luo Dong Qian Zhixiang Shi Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)
description	Abstract Electrical transport of both longitudinal and transverse directions carries rich information. Mobility spectrum analysis (MSA) is capable of extracting charge information from conductivity tensor, including charge types, concentration and mobilities. Using a numerical method based on maximum entropy principle, i.e., maximum entropy mobility spectrum analysis (MEMSA), mobility spectrum for $$\beta $$ β -type PtBi $$_2$$ 2 is studied. Three hole-pockets and two electron-pockets were found, including a small hole pocket with very high mobility, which is very likely corresponding to Dirac Fermions. Benefiting from our high resolution result, we studied temperature dependence of carrier properties and explained the sign change phenomenon of Hall conductivity. We further compared the results with band structure obtained by our first principle calculation. The present results prove MEMSA is a useful tool of extracting carries’ information in recently discovered Iron-based superconductors, and topological materials.
format	article
author	Haijun Zhao Wenchong Li Yue Chen Chunqiang Xu Bin Li Weidong Luo Dong Qian Zhixiang Shi
author_facet	Haijun Zhao Wenchong Li Yue Chen Chunqiang Xu Bin Li Weidong Luo Dong Qian Zhixiang Shi
author_sort	Haijun Zhao
title	Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)
title_short	Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)
title_full	Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)
title_fullStr	Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)
title_full_unstemmed	Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)
title_sort	transport property of multi-band topological material ptbi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (memsa)
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7916f46a75054c7784dfffd30f3e876c
work_keys_str_mv	AT haijunzhao transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT wenchongli transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT yuechen transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT chunqiangxu transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT binli transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT weidongluo transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT dongqian transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa AT zhixiangshi transportpropertyofmultibandtopologicalmaterialptbi22studiedbymaximumentropymobilityspectrumanalysismemsa
_version_	1718393339963768832

Transport property of multi-band topological material PtBi $$_2$$ 2 studied by maximum entropy mobility spectrum analysis (MEMSA)

Ejemplares similares