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dc.contributor.authorOsterrieth, Johannes W. M.
dc.contributor.authorRodríguez Navarro, Jorge Andrés 
dc.date.accessioned2022-06-07T10:39:15Z
dc.date.available2022-06-07T10:39:15Z
dc.date.issued2022-05-23
dc.identifier.citationOsterrieth, J. W. M... [et al.]. How Reproducible are Surface Areas Calculated from the BET Equation?. Adv. Mater. 2022, 2201502. [https://doi.org/10.1002/adma.202201502]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/75304
dc.descriptionThis project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (NanoMOFdeli), ERC-2016-COG 726380, Innovate UK (104384) and EPSRC IAA (IAA/RG85685). N.R. acknowledges the support of the Cambridge International Scholarship and the TrinityHenry Barlow Scholarship (Honorary). O.K.F. and R.Q.S. acknowledge funding from the U.S. Department of Energy (DE-FG02-08ER15967). R.S.F. and D.B. acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (SCoTMOF), ERC-2015-StG 677289. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA-0003525. The authors gratefully acknowledge funding from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Hydrogen and Fuel Cell Technologies Office, through the Hydrogen Storage Materials Advanced Research Consortium (HyMARC). This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy or the United States Government. J.D.E. acknowledges the support of the Alexander von Humboldt Foundation and the Center for Information Services and High Performance Computing (ZIH) at TU Dresden. S.K.G. and S.M. acknowledge SERB (Project No. CRG/2019/000906), India for financial support. K.K. and R.K. acknowledge Active Co. Research Grant for funding. S.K. acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (COSMOS), ERC-2017-StG 756489. N.L. and J.G.M acknowledge funding from the European Commission through the H2020-MSCA-RISE-2019 program (ZEOBIOCHEM -872102) and the Spanish MICINN and AEI/FEDER (RTI2018-099504-B-C21). N.L. thanks the University of Alicante for funding (UATALENTO17-05). ICN2 is supported by the Severo Ochoa program from the Spanish MINECO (Grant No. SEV-2017-0706) S.M.J.R. and A.L. wish to thank the Fund for Scientific Research Flanders (FWO), under grant nos. 12T3519N and 11D2220N. L.S. was supported by the EPSRC Cambridge NanoDTC EP/L015978/1. C.T.Y. and T.S.N. acknowledges funds from the National Research Foundation of Korea, NRF-2017M3A7B4042140 and NRF-2017M3A7B4042235. P.F. and H. Y. acknowledge US Department of Energy, Office of Basic Energy Sciences, Materials Sciences and Engineering Division under Award No. DE-SC0010596 (P.F.). R.O. would like to acknowledge funding support during his Ph.D. study from Indonesian Endowment Fund for Education-LPDP with the contract No. 202002220216006. Daniel Siderius: Official contribution of the National Institute of Standards and Technology (NIST), not subject to copyright in the United States of America. Daniel Siderius: Certain commercially available items may be identified in this paper. This identification does not imply recommendation by NIST, nor does it imply that it is the best available for the purposes described. B.V.L, S.T.E and A.M.P acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation Program (Grant agreement no. 639233, COFLeaf).es_ES
dc.description.abstractPorosity and surface area analysis play a prominent role in modern materials science. At the heart of this sits the Brunauer–Emmett–Teller (BET) theory, which has been a remarkably successful contribution to the field of materials science. The BET method was developed in the 1930s for open surfaces but is now the most widely used metric for the estimation of surface areas of microand mesoporous materials. Despite its widespread use, the calculation of BET surface areas causes a spread in reported areas, resulting in reproducibility problems in both academia and industry. To prove this, for this analysis, 18 already-measured raw adsorption isotherms were provided to sixty-one labs, who were asked to calculate the corresponding BET areas. This roundrobin exercise resulted in a wide range of values. Here, the reproducibility of BET area determination from identical isotherms is demonstrated to be a largely ignored issue, raising critical concerns over the reliability of reported BET areas. To solve this major issue, a new computational approach to accurately and systematically determine the BET area of nanoporous materials is developed. The software, called “BET surface identification” (BETSI), expands on the well-known Rouquerol criteria and makes an unambiguous BET area assignment possible.es_ES
dc.description.sponsorshipEuropean Research Council (ERC) ERC-2016-COG 726380 ERC-2015-StG 677289 ERC-2017-StG 756489 639233es_ES
dc.description.sponsorshipUK Research & Innovation (UKRI) Innovate UK 104384 UK Research & Innovation (UKRI)es_ES
dc.description.sponsorshipEngineering & Physical Sciences Research Council (EPSRC) IAA/RG85685es_ES
dc.description.sponsorshipCambridge International Scholarship TrinityHenry Barlow Scholarshipes_ES
dc.description.sponsorshipUnited States Department of Energy (DOE) DE-FG02-08ER15967es_ES
dc.description.sponsorshipNational Nuclear Security Administration DE-NA-0003525es_ES
dc.description.sponsorshipUnited States Department of Energy (DOE)es_ES
dc.description.sponsorshipAlexander von Humboldt Foundationes_ES
dc.description.sponsorshipCenter for Information Services and High Performance Computing (ZIH) at TU Dresdenes_ES
dc.description.sponsorshipDepartment of Science & Technology (India)es_ES
dc.description.sponsorshipScience Engineering Research Board (SERB), India CRG/2019/000906es_ES
dc.description.sponsorshipActive Co. Research Grantes_ES
dc.description.sponsorshipEuropean Commission through the H2020-MSCA-RISE-2019 program ZEOBIOCHEM -872102es_ES
dc.description.sponsorshipSpanish MICINN and AEI/FEDER RTI2018-099504-B-C21es_ES
dc.description.sponsorshipUniversity of Alicante UATALENTO17-05es_ES
dc.description.sponsorshipSpanish Government SEV-2017-0706 FWO 12T3519N 11D2220Nes_ES
dc.description.sponsorshipUK Research & Innovation (UKRI)es_ES
dc.description.sponsorshipEngineering & Physical Sciences Research Council (EPSRC) EP/L015978/1es_ES
dc.description.sponsorshipNational Research Foundation of Korea NRF-2017M3A7B4042140 NRF-2017M3A7B4042235es_ES
dc.description.sponsorshipUnited States Department of Energy (DOE) DE-SC0010596es_ES
dc.description.sponsorshipIndonesian Endowment Fund for Education-LPDP 202002220216006es_ES
dc.language.isoenges_ES
dc.publisherWileyes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectAdsorption es_ES
dc.subjectBET theoryes_ES
dc.subjectPorosimetryes_ES
dc.subjectPorous materialses_ES
dc.subjectSurface areaes_ES
dc.titleHow Reproducible are Surface Areas Calculated from the BET Equation?es_ES
dc.typejournal articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/639233es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/726380es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/677289es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/756489es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/872102es_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1002/adma.202201502
dc.type.hasVersionVoRes_ES


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