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Invited Article

Growing patterns

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Published 6 September 2023 © 2023 IOP Publishing Ltd & London Mathematical Society. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
, , Citation Ryan Goh and Arnd Scheel 2023 Nonlinearity 36 R1DOI 10.1088/1361-6544/acf265

0951-7715/36/10/R1

Abstract

Pattern forming systems allow for a wealth of states, where wavelengths and orientation of patterns varies and defects disrupt patches of monocrystalline regions. Growth of patterns has long been recognized as a strong selection mechanism. We present here recent and new results on the selection of patterns in situations where the pattern-forming region expands in time. The wealth of phenomena is roughly organised in bifurcation diagrams that depict wavenumbers of selected crystalline states as functions of growth rates. We show how a broad set of mathematical and numerical tools can help shed light into the complexity of this selection process.

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10.1088/1361-6544/acf265