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A predictive model for the diffusion of a highly non-ideal ternary system.
Allie-Ebrahim, Tariq; Russo, Vincenzo; Ortona, Ornella; Paduano, Luigi; Tesser, Riccardo; Di Serio, Martino; Singh, Pranav; Zhu, Qingyu; Moggridge, Geoff D; D'Agostino, Carmine.
Affiliation
  • Allie-Ebrahim T; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, UK.
  • Russo V; Department of Chemical Sciences, Università di Napoli Federico II, Via Cinthia 4, Napoli 80126, Italy.
  • Ortona O; Department of Chemical Sciences, Università di Napoli Federico II, Via Cinthia 4, Napoli 80126, Italy.
  • Paduano L; Department of Chemical Sciences, Università di Napoli Federico II, Via Cinthia 4, Napoli 80126, Italy.
  • Tesser R; Department of Chemical Sciences, Università di Napoli Federico II, Via Cinthia 4, Napoli 80126, Italy.
  • Di Serio M; Department of Chemical Sciences, Università di Napoli Federico II, Via Cinthia 4, Napoli 80126, Italy.
  • Singh P; Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford OX2 6GG, UK.
  • Zhu Q; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, UK.
  • Moggridge GD; Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge CB3 0AS, UK.
  • D'Agostino C; School of Chemical Engineering and Analytical Science, The University of Manchester, The Mill, Sackville Street, Manchester, M13 9PL, UK. carmine.dagostino@manchester.ac.uk.
Phys Chem Chem Phys ; 20(27): 18436-18446, 2018 Jul 11.
Article in En | MEDLINE | ID: mdl-29947382
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Phys Chem Chem Phys Journal subject: BIOFISICA / QUIMICA Year: 2018 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Phys Chem Chem Phys Journal subject: BIOFISICA / QUIMICA Year: 2018 Document type: Article Affiliation country: United kingdom Country of publication: United kingdom