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Category: Physica D: Nonlinear Phenomena

A continuum model for morphology formation from interacting ternary mixtures: Simulation study of the formation and growth of patterns

A continuum model for morphology formation from interacting ternary mixtures: Simulation study of the formation and growth of patterns

Publication date: Available online 30 June 2023Source: Physica D: Nonlinear PhenomenaAuthor(s): Rainey Lyons, Stela Andrea Muntean, Emilio N.M. Cirillo, Adrian Muntean

Modern AI <em>versus</em> century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?

Modern AI <em>versus</em> century-old mathematical models: How far can we go with generative adversarial networks to reproduce stochastic processes?

Publication date: Available online 28 June 2023Source: Physica D: Nonlinear PhenomenaAuthor(s): Pedro Lencastre, Marit Gjersdal, Leonardo Rydin Gorjão, Anis Yazidi, Pedro G. Lind

Solutions to the SU(<math xmlns:mml=”http://www.w3.org/1998/Math/MathML” display=”inline” id=”d1e275″ altimg=”si4.svg” class=”math”><mi mathvariant=”script”>N</mi></math>) self-dual Yang–Mills equation

Solutions to the SU(<math xmlns:mml=”http://www.w3.org/1998/Math/MathML” display=”inline” id=”d1e275″ altimg=”si4.svg” class=”math”><mi mathvariant=”script”>N</mi></math>) self-dual Yang–Mills equation

Publication date: Available online 24 June 2023Source: Physica D: Nonlinear PhenomenaAuthor(s): Shangshuai Li, Changzheng Qu, Da-jun Zhang