activity
20172026
most citedLarge-scale influence of numerical noises as artificial stochastic disturbances on a sustained turbulence

26 citations · 101 across the 13 of their papers we have counts for

collaborators

14 papers

math.AP2026

Non-uniqueness of smooth solutions of the Navier-Stokes equations from almost the same initial conditions

Shijun Liao, Shijie Qin

Using clean numerical simulation (CNS) which can give very accurate spatiotemporal trajectory of Navier-Stokes turbulence in a finite but long enough interval of time, we give some…

physics.flu-dyn2025

Reply to the comments of McMullen et al. (arXiv:2510.04828)

Shijun Liao, Shijie Qin

McMullen et al. [1] comment that the numerical simulations that explicitly include random velocity fluctuations ``should exhibit a thermal-fluctuation-dominated range'' consistent…

nlin.CD2025★ 2 cited

Ultra-chaotic property of Navier-Stokes turbulence

Shijie Qin, Kun Xu, Shijun Liao

A chaotic system is called ultra-chaos when its statistics have sensitivity dependence on initial condition and/or other small disturbances. In this paper, using two-dimensional tu…

physics.flu-dyn2025

A paradox of the Navier-Stokes turbulence

Shijie Qin, Kun Xu, Shijun Liao

The Navier-Stokes (NS) equations as a turbulence model have been widely applied in lots of fields. The NS equations contain such a fundamental assumption that all small physical/ar…

physics.flu-dyn2025★ 3 cited

Clean numerical simulation (CNS) of three-dimensional turbulent Kolmogorov flow

Shijie Qin, Shijun Liao

Turbulence holds immense importance across various scientific and engineering disciplines. The direct numerical simulation (DNS) of turbulence proposed by Orszag in 1970 is a miles…

physics.flu-dyn2025★ 2 cited

Physical significance of artificial numerical noise in direct numerical simulation of turbulence

Shijun Liao, Shijie Qin

Using clean numerical simulation (CNS) in which artificial numerical noise is negligible over a finite, sufficiently long interval of time, we provide evidence, for the first time,…

physics.flu-dyn2024★ 5 cited

Noise-expansion cascade: an origin of randomness of turbulence

Shijun Liao, Shijie Qin

Randomness is one of the most important characteristics of turbulence, but its origin remains an open question. By means of a ``thought experiment'' via several clean numerical exp…

physics.flu-dyn2024★ 14 cited

Is a direct numerical simulation (DNS) of Navier-Stokes equations with small enough grid spacing and time-step definitely reliable/correct?

Shejie Qin, Yu Yang, Yongxiang Huang +3

Traditionally, results given by the direct numerical simulation (DNS) of Navier-Stokes equations are widely regarded as reliable benchmark solutions of turbulence, as long as grid…

physics.comp-ph2023★ 7 cited

A Self-Adaptive Algorithm of the Clean Numerical Simulation (CNS) for Chaos

Shijie Qin, Shijun Liao

The background numerical noise is determined by the maximum of truncation error and round-off error. For a chaotic system, the numerical error g…

physics.flu-dyn2022★ 26 cited

Large-scale influence of numerical noises as artificial stochastic disturbances on a sustained turbulence

Shijie Qin, Shijun Liao

We investigate the large-scale influence of numerical noises as tiny artificial stochastic disturbances on a sustained turbulence. Using the two-dimensional (2D) turbulent Rayleigh…

nlin.CD2022★ 16 cited

A kind of Lagrangian chaotic property of the Arnold-Beltrami-Childress flow

Shijie Qin, Shijun Liao

Three-dimensional steady-state Arnold-Beltrami-Childress (ABC) flow has a chaotic Lagrangian structure, and also satisfies the Navier-Stokes (NS) equations with an external force p…

physics.gen-ph2021★ 20 cited

Ultra-chaos: an insurmountable objective obstacle of reproducibility and replicability

Shijun Liao, Shijie Qin

In this paper, a new concept, i.e. ultra-chaos, is proposed for the first time. Unlike a normal-chaos, statistical properties such as the probability density functions (PDF) of an…

physics.comp-ph2021

Influence of database noises to machine learning for spatiotemporal chaos

Yu Yang, Shijie Qin, Shijun Liao

A new strategy, namely the "clean numerical simulation" (CNS), was proposed (J. Computational Physics, 418:109629, 2020) to gain reliable/convergent simulations (with negligible nu…

nlin.CD2017★ 6 cited

Influence of round-off errors on the reliability of numerical simulations of chaotic dynamic systems

Shijie Qin, Shijun Liao

We illustrate that, like the truncation error, the round-off error has a significant influence on the reliability of numerical simulations of chaotic dynamic systems. Due to the bu…