Pattern Formation from the Gierer–Meinhardt Model on the Stanford Bunny

Grady Wright

Pattern Formation from the Gierer–Meinhardt Model on the Stanford Bunny

Mathematics Department

Research output: Contribution to conference › Presentation

Abstract

Snapshot from a simulation the Gierer–Meinhardt model on the Stanford Bunny computed using the radial basis function finite difference (RBF-FD) method. This model is consists of activator/inhibitor system of reaction diffusion equations and is known to generate Turing patterns that mimic the coats of some animals found in nature.

Original language	American English
State	Published - 12 Mar 2023

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title = "Pattern Formation from the Gierer–Meinhardt Model on the Stanford Bunny",

abstract = " Snapshot from a simulation the Gierer–Meinhardt model on the Stanford Bunny computed using the radial basis function finite difference (RBF-FD) method. This model is consists of activator/inhibitor system of reaction diffusion equations and is known to generate Turing patterns that mimic the coats of some animals found in nature.",

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year = "2023",

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language = "American English",

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N2 - Snapshot from a simulation the Gierer–Meinhardt model on the Stanford Bunny computed using the radial basis function finite difference (RBF-FD) method. This model is consists of activator/inhibitor system of reaction diffusion equations and is known to generate Turing patterns that mimic the coats of some animals found in nature.

AB - Snapshot from a simulation the Gierer–Meinhardt model on the Stanford Bunny computed using the radial basis function finite difference (RBF-FD) method. This model is consists of activator/inhibitor system of reaction diffusion equations and is known to generate Turing patterns that mimic the coats of some animals found in nature.

UR - https://scholarworks.boisestate.edu/rcd_2023/7

M3 - Presentation

ER -

Pattern Formation from the Gierer–Meinhardt Model on the Stanford Bunny

Abstract

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