ArticleMathematical biosciences2025
On pattern formation in the thermodynamically-consistent variational Gray-Scott model.
Article in Mathematical biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations.Advances in neural information processing systems · 2024Article
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Abstract
In this paper, we explore pattern formation in a four-species variational Gary-Scott model, which includes all reverse reactions and introduces a virtual species to describe the birth-death process in the classical Gray-Scott model. This modification transforms the classical Gray-Scott model into a thermodynamically consistent closed system. The classical two-species Gray-Scott model can be viewed as a subsystem of the variational model in the limiting case when the small parameter ϵ, related to the reaction rate of the reverse reactions, approaches zero. We numerically explore pattern formation in this physically more complete Gray-Scott model in one spatial dimension, using non-uniform steady states of the classical model as initial conditions. By decreasing ϵ, we observed that the stationary patterns in the classical Gray-Scott model can be stabilized as the transient states in the variational model for a significantly small ϵ. Additionally, the variational model admits oscillating and traveling-wave-like patterns for small ϵ. The persistent time of these patterns is on the order of O(ϵ
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