@article{f9acbdad1ec14c3494e178a8c8cd79d7,
title = "Reactive [Formula presented]-species Cahn–Hilliard system: A thermodynamically-consistent model for reversible chemical reactions",
abstract = "We introduce a multicomponent Cahn–Hilliard system with multiple reversible chemical reactions. We derive the conservation laws of the multicomponent system within the thermodynamical constraints. Furthermore, we consider multiple chemical reactions based on the mass action law. This coupling reproduces phase separation under spinodal decomposition as a chemical reaction between the species takes place. Finally, we perform a numerical simulation to show the robustness of the model as well as the resulting patterns.",
keywords = "Chemical reactions, Isogeometric analysis, Multicomponent Cahn–Hilliard, Spinodal decomposition",
author = "Clavijo, {S. P.} and Sarmiento, {A. F.} and Espath, {L. F.R.} and L. Dalcin and Cortes, {A. M.A.} and Calo, {V. M.}",
note = "Funding Information: This publication was made possible in part by the CSIRO Professorial Chair in Computational Geoscience at Curtin University and the Deep Earth Imaging Enterprise Future Science Platforms of the Commonwealth Scientific Industrial Research Organisation, CSIRO, of Australia. Additional support was provided by the European Union{\textquoteright}s Horizon 2020 Research and Innovation Program of the Marie Sk{\l}odowska-Curie grant agreement no. 777778 , and the Mega-grant of the Russian Federation Government (N 14.Y26.31.0013 ). Additional support was provided at Curtin University by The Institute for Geoscience Research (TIGeR) and by the Curtin Institute for Computation. The J. Tinsley Oden Faculty Fellowship Research Program at the Institute for Computational Engineering and Sciences (ICES) of the University of Texas at Austin has partially supported the visits of VMC to ICES. Funding Information: This publication was made possible in part by the CSIRO Professorial Chair in Computational Geoscience at Curtin University and the Deep Earth Imaging Enterprise Future Science Platforms of the Commonwealth Scientific Industrial Research Organisation, CSIRO, of Australia. Additional support was provided by the European Union's Horizon 2020 Research and Innovation Program of the Marie Sk{\l}odowska-Curie grant agreement no. 777778, and the Mega-grant of the Russian Federation Government (N 14.Y26.31.0013). Additional support was provided at Curtin University by The Institute for Geoscience Research (TIGeR) and by the Curtin Institute for Computation. The J. Tinsley Oden Faculty Fellowship Research Program at the Institute for Computational Engineering and Sciences (ICES) of the University of Texas at Austin has partially supported the visits of VMC to ICES. Publisher Copyright: {\textcopyright} 2018 Elsevier B.V.",
year = "2019",
month = apr,
doi = "10.1016/j.cam.2018.10.007",
language = "English (US)",
volume = "350",
pages = "143--154",
journal = "Journal of Computational and Applied Mathematics",
issn = "0377-0427",
publisher = "Elsevier",
}