| Review of Monte Carlo methods for the prediction of distributed molecular and morphological polymer properties D Meimaroglou, C Kiparissides Industrial & Engineering Chemistry Research 53 (22), 8963-8979, 2014 | 72 | 2014 |
| A novel stochastic approach for the prediction of the exact topological characteristics and rheological properties of highly-branched polymer chains D Meimaroglou, C Kiparissides Macromolecules 43 (13), 5820-5832, 2010 | 70 | 2010 |
| Prediction of the bivariate molecular weight-Long chain branching distribution in highly branched polymerization systems using Monte Carlo and sectional grid methods D Meimaroglou, A Krallis, V Saliakas, C Kiparissides Macromolecules 40 (6), 2224-2234, 2007 | 62 | 2007 |
| Dynamic prediction of the bivariate molecular weight–copolymer composition distribution using sectional-grid and stochastic numerical methods A Krallis, D Meimaroglou, C Kiparissides Chemical Engineering Science 63 (17), 4342-4360, 2008 | 50 | 2008 |
| Prediction of the molecular and polymer solution properties of LDPE in a high-pressure tubular reactor using a novel Monte Carlo approach D Meimaroglou, P Pladis, A Baltsas, C Kiparissides Chemical engineering science 66 (8), 1685-1696, 2011 | 47 | 2011 |
| Dynamic optimization of molecular weight distribution using orthogonal collocation on finite elements and fixed pivot methods: an experimental and theoretical investigation V Saliakas, C Chatzidoukas, A Krallis, D Meimaroglou, C Kiparissides Macromolecular reaction engineering 1 (1), 119-136, 2007 | 43 | 2007 |
| Part IV: Dynamic evolution of the particle size distribution in particulate processes. A comparative study between Monte Carlo and the generalized method of moments D Meimaroglou, AI Roussos, C Kiparissides Chemical Engineering Science 61 (17), 5620-5635, 2006 | 36 | 2006 |
| From Molecular to Plant‐Scale Modeling of Polymerization Processes: A Digital High‐Pressure Low‐Density Polyethylene Production Paradigm C Kiparissides, A Krallis, D Meimaroglou, P Pladis, A Baltsas Chemical engineering & technology 33 (11), 1754-1766, 2010 | 35 | 2010 |
| Machine learning in chemical product engineering: The state of the art and a guide for newcomers C Trinh, D Meimaroglou, S Hoppe Processes 9 (8), 1456, 2021 | 33 | 2021 |
| Monte Carlo simulation for the solution of the bi-variate dynamic population balance equation in batch particulate systems D Meimaroglou, C Kiparissides 19th International Symposium on Chemical Reaction Engineering (ISCRE 19 …, 2006 | 31 | 2006 |
| Dynamic evolution of the particle size distribution in suspension polymerization reactors: A comparative study on Monte Carlo and sectional grid methods V Saliakas, C Kotoulas, D Meimaroglou, C Kiparissides The Canadian Journal of Chemical Engineering 86 (5), 924-936, 2008 | 27 | 2008 |
| Modular, flexible, and continuous plant for radical polymerization in aqueous solution D Kohlmann, MC Chevrel, S Hoppe, D Meimaroglou, D Chapron, ... Macromolecular Reaction Engineering 10 (4), 339-353, 2016 | 25 | 2016 |
| Prediction of the Viscoelastic Behavior of Low‐Density Polyethylene Produced in High‐Pressure Tubular Reactors P Pladis, D Meimaroglou, C Kiparissides Macromolecular Reaction Engineering 9 (3), 271-284, 2015 | 22 | 2015 |
| In situ monitoring of acrylic acid polymerization in aqueous solution using rheo-Raman technique. Experimental investigation and theoretical modelling MC Chevrel, N Brun, S Hoppe, D Meimaroglou, L Falk, D Chapron, ... Chemical Engineering Science 106, 242-252, 2014 | 22 | 2014 |
| Modeling and optimization of a photocatalytic process: Degradation of endocrine disruptor compounds by Ag/ZnO AB Jasso-Salcedo, S Hoppe, F Pla, VA Escobar-Barrios, M Camargo, ... Chemical Engineering Research and Design 128, 174-191, 2017 | 19 | 2017 |
| Teaching the concept of Gibbs energy minimization through its application to phase-equilibrium calculation R Privat, JN Jaubert, E Berger, L Coniglio, C Lemaitre, D Meimaroglou, ... Journal of Chemical Education 93 (9), 1569-1577, 2016 | 18 | 2016 |
| A dynamic simulator for slurry‐phase catalytic olefin copolymerization in a series of CSTRs: prediction of distributed molecular and rheological properties P Pladis, A Baltsas, D Meimaroglou, C Kiparissides Macromolecular Reaction Engineering 12 (4), 1800017, 2018 | 15 | 2018 |
| Application of Raman Spectroscopy to Characterization of Residence Time Distribution and Online Monitoring of a Pilot‐Scale Tubular Reactor for Acrylic Acid Solution Polymerization MC Chevrel, S Hoppe, D Meimaroglou, D Chapron, P Bourson, J Wilson, ... Macromolecular Reaction Engineering 10 (4), 406-414, 2016 | 12 | 2016 |
| A kinetic modeling framework for the peroxide-initiated radical polymerization of styrene in the presence of rubber particles from recycled tires D Meimaroglou, D Florez, GH Hu Chemical Engineering Science 248, 117137, 2022 | 10 | 2022 |
| Continuous Pilot‐Scale Tubular Reactor for Acrylic Acid Polymerization in Solution Designed Using Lab‐Scale Rheo‐Raman data MC Chevrel, S Hoppe, D Meimaroglou, L Falk, A Durand Macromolecular Reaction Engineering 10 (4), 354-363, 2016 | 10 | 2016 |
