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Duivenvoorden, J. R., Kramer, R. P., van Eikema Hommes, M. H., Iedema, P. D., Hermans, J. J., & Keune, K. (2023). The distribution and transport of water in oil paintings: A numerical moisture diffusion model. International Journal of Heat and Mass Transfer, 202, Article 123682. https://doi.org/10.1016/j.ijheatmasstransfer.2022.123682[details]
Vo, A.-DD., Abdi, K., Tak, J. F. U., van der Velden, L., Willemse, R. X. E., van der Linden, M. N., Iedema, P. D., & McAuley, K. B. (2023). Mathematical modelling for 1,6-hexanediol diacrylate photopolymerization in presence of oxygen. Canadian Journal of Chemical Engineering, 101(9), 4807-4818. https://doi.org/10.1002/cjce.24698[details]
van ’t Hoff, T. E., Orlova, Y., Harmon, R. E., & Iedema, P. D. (2023). Predicting the mass spectrum of polymerizing linoleates using weighted random graph modeling. Chemical engineering journal, 473, Article 145264. https://doi.org/10.1016/j.cej.2023.145264[details]
Abdi, K., Dieu Vo, A. D. D., Boonen, H., Willemse, R. X. E., van der Velden, L., van der Linden, M. N., Iedema, P. D., & McAuley, K. B. (2022). Mathematical modeling and parameter estimation for 1,6-Hexanediol diacrylate photopolymerization with bifunctional initiator. Chemical Engineering Science, 262, Article 118011. https://doi.org/10.1016/j.ces.2022.118011[details]
2021
Hermans, J., Zuidgeest, L., Iedema, P., Woutersen, S., & Keune, K. (2021). The kinetics of metal soap crystallization in oil polymers. Physical Chemistry Chemical Physics, 23(39), 22589-22600. https://doi.org/10.1039/d1cp03479k
Iedema, P. D., Remerie, K., Seegers, D., & McAuley, K. B. (2021). Tacticity Changes during Controlled Degradation of Polypropylene. Macromolecules, 54(19), 8921-8935. https://doi.org/10.1021/acs.macromol.1c01383
Orlova, Y., Gambardella, A. A., Harmon, R. E., Kryven, I., & Iedema, P. D. (2021). Finite representation of reaction kinetics in unbounded biopolymer structures. Chemical engineering journal, 405, Article 126485. Advance online publication. https://doi.org/10.1016/j.cej.2020.126485[details]
Orlova, Y., Gambardella, A. A., Kryven, I., Keune, K., & Iedema, P. D. (2021). Generative Algorithm for Molecular Graphs Uncovers Products of Oil Oxidation. Journal of Chemical Information and Modeling, 61(3), 1457-1469. https://doi.org/10.1021/acs.jcim.0c01163[details]
Orlova, Y., Harmon, R. E., Broadbelt, L. J., & Iedema, P. D. (2021). Review of the kinetics and simulations of linseed oil autoxidation. Progress in Organic Coatings, 151, Article 106041. https://doi.org/10.1016/j.porgcoat.2020.106041
Torres-Knoop, A., Schamboeck, V., Govindarajan, N., Iedema, P. D., & Kryven, I. (2021). Effect of different monomer precursors with identical functionality on the properties of the polymer network. Communications Materials, 2, Article 50. https://doi.org/10.1038/s43246-021-00154-x[details]
Baij, L., Buijs, J., Hermans, J. J., Raven, L., Iedema, P. D., Keune, K., & Sprakel, J. (2020). Quantifying solvent action in oil paint using portable laser speckle imaging. Scientific Reports, 10, Article 10574. https://doi.org/10.1038/s41598-020-67115-1[details]
Beerse, M., Keune, K., Iedema, P., Woutersen, S., & Hermans, J. (2020). Evolution of Zinc Carboxylate Species in Oil Paint Ionomers. ACS Applied Polymer Materials, 2(12), 5674–5685. https://doi.org/10.1021/acsapm.0c00979[details]
Eumelen, G. J. A. M., Bosco, E., Suiker, A. S. J., Hermans, J. J., van Loon, A., Keune, K., & Iedema, P. D. (2020). Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage. Applied Sciences, 2(7), Article 1310. https://doi.org/10.1007/s42452-020-3038-z[details]
Suiker, A. S. J., van Loon, A., Eumelen, G. J. A. M., Keune, K., Bosco, E., Hermans, J. & Iedema, P. (2020). Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage. Zenodo. https://doi.org/10.5281/zenodo.4059437
Suiker, A. S. J., van Loon, A., Eumelen, G. J. A. M., Keune, K., Bosco, E., Hermans, J. & Iedema, P. (2020). Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage. Zenodo. https://doi.org/10.5281/zenodo.4059437
Gambardella, A. A., Cotte, M., de Nolf, W., Schnetz, K., Erdmann, R., van Elsas, R., Gonzalez, V., Wallert, A., Iedema, P. D., Eveno, M., & Keune, K. (2020). Sulfur K-edge micro- and full-field XANES identify marker for preparation method of ultramarine pigment from lapis lazuli in historical paints. Science Advances, 6(18), Article eaay8782. https://doi.org/10.1126/sciadv.aay8782[details]
Schamboeck, V., Iedema, P. D., & Kryven, I. (2020). Coloured random graphs explain the structure and dynamics of cross-linked polymer networks. Scientific Reports, 10, Article 14627. https://doi.org/10.1038/s41598-020-71417-9[details]
Schamboeck, V., Kryven, I., & Iedema, P. D. (2020). Effect of volume growth on the percolation threshold in random directed acyclic graphs with a given degree distribution. Physical Review E, 101(1), Article 012303. https://doi.org/10.1103/PhysRevE.101.012303[details]
Schnetz, K., Gambardella, A. A., van Elsas, R., Rosier, J., Steenwinkel, E. E., Wallert, A., Iedema, P. D., & Keune, K. (2020). Evidence for the catalytic properties of ultramarine pigment. Journal of Cultural Heritage, 45, 25-32. https://doi.org/10.1016/j.culher.2020.04.002[details]
Baij, L., Chassouant, L., Hermans, J. J., Keune, K., & Iedema, P. D. (2019). The concentration and origins of carboxylic acid groups in oil paint. RSC Advances, 9(61), 35559-35564. https://doi.org/10.1039/c9ra06776k[details]
Eumelen, G. J. A. M., Bosco, E., Suiker, A. S. J., van Loon, A., & Iedema, P. D. (2019). A computational model for chemo-mechanical degradation of historical oil paintings due to metal soap formation. Journal of the Mechanics and Physics of Solids, 132, Article 103683. https://doi.org/10.1016/j.jmps.2019.103683[details]
Hermans, J. J., Baij, L., Koenis, M., Keune, K., Iedema, P. D., & Woutersen, S. (2019). 2D-IR spectroscopy for oil paint conservation: Elucidating the water-sensitive structure of zinc carboxylate clusters in ionomers. Science Advances, 5(6), Article eaaw3592. https://doi.org/10.1126/sciadv.aaw3592[details]
Ledema, P. D., Schamböck, V., Boonen, H., van der Linden, M. N., & Willemse, R. (2019). Photocuring of di-acrylate in presence of oxygen. Chemical Engineering Science, 207, 130-144. https://doi.org/10.1016/j.ces.2019.05.056[details]
Schamboek, V., Iedema, P. D., & Kryven, I. (2019). Dynamic Networks that Drive the Process of Irreversible Step-Growth Polymerization. Scientific Reports, 9, Article 2276. https://doi.org/10.1038/s41598-018-37942-4[details]
Baij, L., Hermans, J. J., Keune, K., & Iedema, P. D. (2018). Time-Dependent ATR-FTIR Spectroscopic Studies on Solvent Diffusion and Film Swelling in Oil Paint Model Systems. Macromolecules, 51(18), 7134-7144. https://doi.org/10.1021/acs.macromol.8b00890[details]
Hermans, J., Osmond, G., van Loon, A., Iedema, P., Chapman, R., Drennan, J., Jack, K., Rasch, R., Morgan, G., Zhang, Z., Monteiro, M., & Keune, K. (2018). Electron Microscopy Imaging of Zinc Soaps Nucleation in Oil Paint. Microscopy and Microanalysis, 24(3), 318-322. https://doi.org/10.1017/s1431927618000387[details]
Iedema, P. D., Schambock, V., Boonen, H., Koskamp, J., Schellekens, S., & Willemse, R. (2018). Photocuring of di-acrylate. Chemical Engineering Science, 176, 491-502. https://doi.org/10.1016/j.ces.2017.11.009[details]
Torres-Knoop, A., Kryven, I., Schamböck, V., & Iedema, P. D. (2018). Modeling the free-radical polymerization of hexanediol diacrylate (HDDA): a molecular dynamics and graph theory approach. Soft Matter, 14(17), 3404-3414 . https://doi.org/10.1039/c8sm00451j[details]
Baij, L., Keune, K., Hermans, J., Noble, P., & Iedema, P. (2017). Time-dependent ATR-FTIR studies on the release of solvents from cleaning gels into model systems of oil paint binding media. In L. V. Angelova, B. Ormsby, J. H. Townsend, & R. Wolbers (Eds.), Gels in the Conservation of Art (pp. 316-321). Archetype Publications. [details]
Boonen, H. A. L., Koskamp, J. A., Theiss, W., Iedema, P. D., & Willemse, R. X. E. (2017). Simultaneous Real-Time Analysis of Bulk and Bottom Cure of Ultraviolet-Curable Inks Using Fourier Transform Infrared Spectroscopy. Applied Spectroscopy, 71(12), 2699-2706. https://doi.org/10.1177/0003702817718203[details]
Kryven, I., Zhao, Y. R., McAuley, K. B., & Iedema, P. D. (2017). A Deterministic Model for Positional Gradients in Copolymers. Chemical Engineering Science, 177, 491–500. https://doi.org/10.1016/j.ces.2017.12.017[details]
Schamböck, V., Kryven, I., & Iedema, P. (2017). Acrylate Network Formation by Free-Radical Polymerization Modeled Using Random Graphs. Macromolecular Theory and Simulations, 26(6), Article 1700047 . Advance online publication. https://doi.org/10.1002/mats.201700047[details]
Tacx, J. C. J. F., & Iedema, P. D. (2017). Simulating Light Scattering Behavior of Branched Molecules. Macromolecular Theory and Simulations, 26(6), Article 1700058. https://doi.org/10.1002/mats.201700058
2016
Hermans, J. J., Keune, K., van Loon, A., & Iedema, P. D. (2016). The crystallization of metal soaps and fatty acids in oil paint model systems. Physical Chemistry Chemical Physics, 18(16), 10896-10905. Advance online publication. https://doi.org/10.1039/c6cp00487c
Hermans, J. J., Keune, K., van Loon, A., Corkery, R. W., & Iedema, P. D. (2016). Ionomer-like structure in mature oil paint binding media. RSC Advances, 6, 93363-93369. https://doi.org/10.1039/C6RA18267D
Kryven, I., Duivenvoorden, J., Hermans, J., & Iedema, P. (2016). Random Graph Approach to Multifunctional Molecular Networks. Macromolecular Theory and Simulations, 25(5), 449-465. https://doi.org/10.1002/mats.201600052
Yaghini, N., & Iedema, P. D. (2016). Three-dimensional chain-length-branching-combination points distribution modeling of low density polyethylene in a continuous stirred tank reactor allowing for gelation. Chemical Engineering Science, 140, 348-358. https://doi.org/10.1016/j.ces.2015.06.027[details]
Zhao, Y. R., McAuley, K. B., Iedema, P. D., & Puskas, J. E. (2016). Advanced Monte Carlo Modeling Using Weight-Based Selection of Arborescent Polyisobutylene Molecules in a Batch Reactor. Macromolecular Theory and Simulations, 25(2), 134-154. https://doi.org/10.1002/mats.201500059[details]
2015
Hermans, J. J., Keune, K., van Loon, A., & Iedema, P. D. (2015). An infrared spectroscopic study of the nature of zinc carboxylates in oil paintings. Journal of Analytical Atomic Spectrometry, 30(7), 1600-1608. https://doi.org/10.1039/c5ja00120j[details]
Kryven, I., & Iedema, P. D. (2015). Deterministic Modeling of Copolymer Microstructure: Composition Drift and Sequence Patterns. Macromolecular Reaction Engineering, 9(3), 285-306. https://doi.org/10.1002/mren.201400047[details]
Kryven, I., & Iedema, P. D. (2015). Transition into the gel regime for crosslinking radical polymerisation in a continuously stirred tank reactor. Chemical Engineering Science, 126, 296-308. Advance online publication. https://doi.org/10.1016/j.ces.2014.11.064[details]
Yaghini, N., & Iedema, P. D. (2015). New models of radical polymerization with branching and scission predicting molecular weight distribution in tubular and series of continuous stirred tank reactors allowing for multiradicals and gelation. Chemical Engineering Science, 130, 301-309. https://doi.org/10.1016/j.ces.2015.02.044[details]
Yaghini, N., & Iedema, P. D. (2015). Population balance modeling of full two-dimensional molecular weight and branching distributions for ldPE with topological scission in continuous stirred tank reactor. Chemical Engineering Science, 137, 556-571. https://doi.org/10.1016/j.ces.2015.06.045[details]
Yaghini, N., & Iedema, P. D. (2015). Predicting molecular weight distribution by deterministic modeling and Monte Carlo simulations of radical polymerization with branching and scission allowing for multiradicals and gelation in various reactor configurations. Chemical Engineering Science, 130, 310-318. https://doi.org/10.1016/j.ces.2015.03.003[details]
2014
Hermans, J. J., & Iedema, P. D. (2014). Comment on the paper "Odd-even alternation in a homologous series of Zn(II) n-alkanoates" by P.N. Nelson, H.A. Ellis and R.A. Taylor [J. Mol. Struc. 986 (2011) 10-15]. Journal of Molecular Structure, 1070, 43-44. https://doi.org/10.1016/j.molstruc.2014.04.026[details]
Hermans, J. J., Keune, K., van Loon, A., Corkery, R. W., & Iedema, P. D. (2014). The molecular structure of three types of long-chain zinc(II) alkanoates for the study of oil paint degradation. Polyhedron, 81, 335-340. https://doi.org/10.1016/j.poly.2014.06.030[details]
Kryven, I., & Iedema, P. D. (2014). Transition into the gel regime for free radical crosslinking polymerisation in a batch reactor. Polymer, 55(16), 3475-3489. Advance online publication. https://doi.org/10.1016/j.polymer.2014.06.013[details]
Yaghini, N., & Iedema, P. (2014). Molecular Weight and Branching Distribution Modeling in Radical Polymerization with Transfer to Polymer and Scission Under Gel Conditions and Allowing for Multiradicals. Macromolecules, 47(15), 4851-4863. https://doi.org/10.1021/ma501094a[details]
Yaghini, N., & Iedema, P. D. (2014). Molecular weight/branching distribution modeling of low-density-polyethylene accounting for topological scission and combination termination in continuous stirred tank reactor. Chemical Engineering Science, 116, 144-160. https://doi.org/10.1016/j.ces.2014.04.039[details]
Zhao, Y. R., McAuley, K. B., Iedema, P. D., & Puskas, J. E. (2014). Advanced Monte Carlo Model for Arborescent Polyisobutylene Production in Batch Reactor. Macromolecular Theory and Simulations, 23(6), 383-400. https://doi.org/10.1002/mats.201400013[details]
2013
Iedema, P. D., Remerie, K., Ham, M., & Biemond, E. (2013). Development of MWD and branching during peroxide modification of High-Density Polyethylene by SEC-MALS and Monte Carlo simulation. Polymer, 54(16), 4093-4104. https://doi.org/10.1016/j.polymer.2013.06.001[details]
Kryven, I., & Iedema, P. D. (2013). A Novel Approach to Population Balance Modeling of Reactive Polymer Modification Leading to Branching. Macromolecular Theory and Simulations, 22(2), 89-106. https://doi.org/10.1002/mats.201200048[details]
Kryven, I., & Iedema, P. D. (2013). Predicting multidimensional distributive properties of hyperbranched polymer resulting from AB2 polymerization with substitution, cyclization and shielding. Polymer, 54(14), 3472-3484. Advance online publication. https://doi.org/10.1016/j.polymer.2013.05.009[details]
Kryven, I., Berkenbos, A., Melo, P., Kim, D. M., & Iedema, P. D. (2013). Modeling Crosslinking Polymerization in Batch and Continuous Reactors. Macromolecular rapid communications, 7(5), 205-220. https://doi.org/10.1002/mren.201200073[details]
2012
Iedema, P. D. (2012). Investigating the architecture of segmented and branched polymers under random scission by mathematical modeling. Macromolecular Theory and Simulations, 21(3), 187-208. https://doi.org/10.1002/mats.201100095[details]
Iedema, P. D. (2012). Predicting MWD and branching distribution of terminally branched polymers undergoing random scission. Macromolecular Theory and Simulations, 21(3), 166-186. https://doi.org/10.1002/mats.201100094[details]
Iedema, P. D., Dreischor, M., Hungenberg, K-D., & Orlov, Y. (2012). Predicting the change of MWD caused by interchange reactions during melt-mixing of linear and branched polycondensates (AB(2)). Macromolecular Theory and Simulations, 21(9), 629-647. https://doi.org/10.1002/mats.201200042[details]
Iedema, P. D., Remerie, K., van der Ham, M., Biemond, E., & Tacx, J. (2011). Controlled peroxide-induced degradation of polypropylene in a twin-screw extruder: change of molecular weight distribution under conditions controlled by micromixing. Chemical Engineering Science, 66(22), 5474-5486. https://doi.org/10.1016/j.ces.2011.06.071[details]
2008
Kim, D. M., & Iedema, P. D. (2008). Modeling of branching density and branching distribution in low-density polyethylene polymerization. Chemical Engineering Science, 63(8), 2035-2046. https://doi.org/10.1016/j.ces.2007.12.033[details]
2017
Schamboeck, V., Kryven, I., & Iedema, P. D. (2017). Macromol. Theory Simul. 6/2017. Macromolecular Theory and Simulations, 26(6), n/a-n/a. https://doi.org/10.1002/mats.201770016
Hermans, J. J., Keune, K., van Loon, A., Stols-Witlox, M. J. N., Corkery, R. W., & Iedema, P. D. (2014). The synthesis of new types of lead and zinc soaps: a source of information for the study of oil paint degradation. In J. Bridgland (Ed.), Building strong culture through conservation: preprints ICOM-CC 17th Triennial Conference: 17-19 September 2014, Melbourne, Australia (pp. 1603). International Council of Museums. http://www.icom-cc2014.org/docs/content/Melbourne_Table_of_Contents.pdf[details]
Iedema, P. D., Hermans, J. J., Keune, K., van Loon, A., & Stols-Witlox, M. J. N. (2014). Mathematical modeling of mature oil paint networks. In J. Bridgland (Ed.), Building strong culture through conservation: preprints ICOM-CC 17th Triennial Conference: 17-19 September 2014, Melbourne, Australia (pp. 1604). Paris: International Council of Museums. [details]
2016
Keune, K., Hermans, J. J., Bertrand, L., Thoury, M., Sandt, C., Reguer, S., Torkarski, C., Corkery, R. W., Iedema, P. D., Sawicka, A., & van Loon, A. (2016). Investigation of the Dynamic Processes Underlying Lead Soap-Related Degradation Phenomena in Multi-Layer Model Systems. Poster session presented at Metal Soaps in Art, Amsterdam.
Keune, K., Hermans, J. J., Iedema, P. D., van Loon, A., & Baij, C. L. M. (2016). Time-resolved ATR-FTIR methods for the study of dynamic processes in oil paints. Poster session presented at Gordon Research Conference - Scientific Methods in Cultural Heritage Research, Newry Maine, .
2012
Iedema, P. D., van Loon, A., Keune, K., Stols-Witlox, M. J. N., Beale, A. M., Weckhuysen, B. M., & Corkery, R. W. (2012). Paint Alteration in Time - PAinT. Poster session presented at first Gordon Research Conference, “Scientific Methods in Cultural Heritage Research: Non-Destructive Imaging and Micro-Analysis in Cultural Heritage”, .
2017
Hermans, J. J. (2017). Metal soaps in oil paint: Structure, mechanisms and dynamics. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
Suiker, A. S. J., van Loon, A., Eumelen, G. J. A. M., Keune, K., Bosco, E., Hermans, J. & Iedema, P. (2020). Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage. Zenodo. https://doi.org/10.5281/zenodo.4059437
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