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20182026
most citedDeterminstic and stochastic 2d Navier-Stokes equations with anisotropic viscosity

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

math.AP2026

An Anisotropic Onsager Criterion for the Two-Dimensional Navier--Stokes Equations with Horizontal Viscosity

Siyu Liang

We consider distributional weak solutions of the two-dimensional Navier--Stokes equations with horizontal viscosity on or , withou…

math.PR2026

Uniqueness of invariant measures for stochastic damped anisotropic Navier--Stokes equations

Siyu Liang

We study a two-dimensional Navier--Stokes system with anisotropic viscosity, linear damping term, and an additive noise on the whole space . For this model we prove u…

math.NA2024★ 1 cited

An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning

Lukas Gonon, Arnulf Jentzen, Benno Kuckuck +3

The approximation of solutions of partial differential equations (PDEs) with numerical algorithms is a central topic in applied mathematics. For many decades, various types of meth…

math.AP2022

On White Noise Solutions of mSQG Equations on

Siyu Liang

In this paper, we show existence of white noise solutions for weak formulations of modified Surface Quasi-Geostrophic (mSQG) equations. Based on previous results (\cite{FS}) on whi…

math.AP2021

A Lower Bound Estimate of Life Span of Solutions to Stochastic 3D Navier-Stokes Equations with Convolution Type Noise

Siyu Liang

In this paper we investigate the stochastic 3D Navier-Stokes equations perturbed by linear multiplicative Gaussian noise of convolution type by transformation to random PDEs. We ar…

math.AP2018★ 1 cited

Determinstic and stochastic 2d Navier-Stokes equations with anisotropic viscosity

Siyu Liang, Ping Zhang, Rongchan Zhu

In this paper, we investigate both deterministic and stochastic 2D Navier Stokes equations with anisotropic viscosity. For the deterministic case, we prove the global well-posednes…