001009391 001__ 1009391
001009391 005__ 20231027114410.0
001009391 0247_ $$2doi$$a10.1002/advs.202302688
001009391 0247_ $$2datacite_doi$$a10.34734/FZJ-2023-02795
001009391 0247_ $$2pmid$$a37386820
001009391 0247_ $$2WOS$$aWOS:001019967400001
001009391 037__ $$aFZJ-2023-02795
001009391 041__ $$aEnglish
001009391 082__ $$a624
001009391 1001_ $$00000-0003-3871-0342$$aZhang, Chaohua$$b0
001009391 245__ $$aGibbs Adsorption and Zener Pinning Enable MechanicallyRobust High-Performance Bi2Te3-Based ThermoelectricDevices
001009391 260__ $$aWeinheim$$bWiley-VCH$$c2023
001009391 3367_ $$2DRIVER$$aarticle
001009391 3367_ $$2DataCite$$aOutput Types/Journal article
001009391 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1697187485_21879
001009391 3367_ $$2BibTeX$$aARTICLE
001009391 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001009391 3367_ $$00$$2EndNote$$aJournal Article
001009391 536__ $$0G:(DE-HGF)POF4-5233$$a5233 - Memristive Materials and Devices (POF4-523)$$cPOF4-523$$fPOF IV$$x0
001009391 536__ $$0G:(DE-82)BMBF-16ME0398K$$aBMBF 16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0398K)$$cBMBF-16ME0398K$$x1
001009391 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001009391 7001_ $$aLai, Qiangwen$$b1
001009391 7001_ $$aWang, Wu$$b2
001009391 7001_ $$aZhou, Xuyang$$b3
001009391 7001_ $$aLan, Kailiang$$b4
001009391 7001_ $$aHu, Lipeng$$b5
001009391 7001_ $$aCai, Bowen$$b6
001009391 7001_ $$0P:(DE-Juel1)176716$$aWuttig, Matthias$$b7
001009391 7001_ $$aHe, Jiaqing$$b8
001009391 7001_ $$0P:(DE-HGF)0$$aLiu, Fusheng$$b9$$eCorresponding author
001009391 7001_ $$00000-0002-3148-6600$$aYu, Yuan$$b10$$eCorresponding author
001009391 773__ $$0PERI:(DE-600)2808093-2$$a10.1002/advs.202302688$$gp. 2302688$$n26$$p2302688$$tAdvanced science$$v12$$x2198-3844$$y2023
001009391 8564_ $$uhttps://juser.fz-juelich.de/record/1009391/files/Advanced%20Science%20-%202023%20-%20Zhang%20-%20Gibbs%20Adsorption%20and%20Zener%20Pinning%20Enable%20Mechanically%20Robust%20High%E2%80%90Performance.pdf$$yOpenAccess
001009391 909CO $$ooai:juser.fz-juelich.de:1009391$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001009391 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)176716$$aForschungszentrum Jülich$$b7$$kFZJ
001009391 9131_ $$0G:(DE-HGF)POF4-523$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5233$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vNeuromorphic Computing and Network Dynamics$$x0
001009391 9141_ $$y2023
001009391 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-18
001009391 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001009391 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2018-07-06T12:17:41Z
001009391 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2018-07-06T12:17:41Z
001009391 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-18
001009391 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2022-11-18
001009391 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001009391 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2022-11-18
001009391 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bADV SCI : 2022$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2018-07-06T12:17:41Z
001009391 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2023-08-29
001009391 915__ $$0StatID:(DE-HGF)9915$$2StatID$$aIF >= 15$$bADV SCI : 2022$$d2023-08-29
001009391 9201_ $$0I:(DE-Juel1)PGI-10-20170113$$kPGI-10$$lJARA Institut Green IT$$x0
001009391 980__ $$ajournal
001009391 980__ $$aVDB
001009391 980__ $$aUNRESTRICTED
001009391 980__ $$aI:(DE-Juel1)PGI-10-20170113
001009391 9801_ $$aFullTexts