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dc.contributor.authorHocker, Thomas-
dc.contributor.authorAranovich, Grigoriy L.-
dc.contributor.authorDonohue, Marc D.-
dc.date.accessioned2017-11-30T14:14:30Z-
dc.date.available2017-11-30T14:14:30Z-
dc.date.issued2001-
dc.identifier.issn0021-9797de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/1621-
dc.description.abstractThe method of projections onto convex sets (POCS) is used to calculate the adsorption-energy distribution-function from the adsorption integral (using a modified Langmuir local isotherm) for energetically heterogeneous surfaces. The POCS-method, originally developed in the 1960s, has been successfully applied for many years to estimation problems, mainly in the fields of image processing, signal recovery, and optics. It allows one to incorporate into an iteration scheme available information about the experimental data and the measurement error as well as a priori constraints (such as nonnegativity) based on physical reasoning. It is important to note that the POCS-method doesn't lead to a unique "optimum" solution. Rather, a feasible solution is found within a "solution space" that is consistent with all imposed constraints. The "size" of this solution space depends on how large the measurement errors are; it also depends on the accuracy of the error statistics, and the number and significance of a priori constraints used. In several examples, the POCS-method is used to recover energy distributions from simulated adsorption data containing normally distributed errors. The excellent recoveries obtained demonstrate the value of the POCS-method as a robust and reliable tool for adsorption-integral inversions.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofJournal of Colloid and Interface Sciencede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectInversionde_CH
dc.subjectPOCSde_CH
dc.subjectAdsorptionde_CH
dc.subjectEnergyde_CH
dc.subject.ddc530: Physikde_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleAdsorption-energy distribution of heterogeneous surfaces predicted by projections onto convex setsde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
dc.identifier.doi10.1006/jcis.2001.7496de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end176de_CH
zhaw.pages.start167de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume238de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen School of Engineering

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Hocker, T., Aranovich, G. L., & Donohue, M. D. (2001). Adsorption-energy distribution of heterogeneous surfaces predicted by projections onto convex sets. Journal of Colloid and Interface Science, 238(1), 167–176. https://doi.org/10.1006/jcis.2001.7496
Hocker, T., Aranovich, G.L. and Donohue, M.D. (2001) ‘Adsorption-energy distribution of heterogeneous surfaces predicted by projections onto convex sets’, Journal of Colloid and Interface Science, 238(1), pp. 167–176. Available at: https://doi.org/10.1006/jcis.2001.7496.
T. Hocker, G. L. Aranovich, and M. D. Donohue, “Adsorption-energy distribution of heterogeneous surfaces predicted by projections onto convex sets,” Journal of Colloid and Interface Science, vol. 238, no. 1, pp. 167–176, 2001, doi: 10.1006/jcis.2001.7496.
HOCKER, Thomas, Grigoriy L. ARANOVICH und Marc D. DONOHUE, 2001. Adsorption-energy distribution of heterogeneous surfaces predicted by projections onto convex sets. Journal of Colloid and Interface Science. 2001. Bd. 238, Nr. 1, S. 167–176. DOI 10.1006/jcis.2001.7496
Hocker, Thomas, Grigoriy L. Aranovich, and Marc D. Donohue. 2001. “Adsorption-Energy Distribution of Heterogeneous Surfaces Predicted by Projections onto Convex Sets.” Journal of Colloid and Interface Science 238 (1): 167–76. https://doi.org/10.1006/jcis.2001.7496.
Hocker, Thomas, et al. “Adsorption-Energy Distribution of Heterogeneous Surfaces Predicted by Projections onto Convex Sets.” Journal of Colloid and Interface Science, vol. 238, no. 1, 2001, pp. 167–76, https://doi.org/10.1006/jcis.2001.7496.


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