20 citations · 24 across the 5 of their papers we have counts for
5 papers
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
Minhui Zhu, Minyang Tian, Xiaocheng Yang +61
While large language models (LLMs) with reasoning capabilities are progressing rapidly on high-school math competitions and coding, can they reason effectively through complex, ope…
Spontaneous stochasticity amplifies even thermal noise to the largest scales of turbulence in a few eddy turnover times
Dmytro Bandak, Alexei Mailybaev, Gregory L. Eyink +1
How predictable are turbulent flows? Here we use theoretical estimates and shell model simulations to argue that Eulerian spontaneous stochasticity, a manifestation of the non-uniq…
Thermal noise competes with turbulent fluctuations below millimeter scales
Dmytro Bandak, Gregory L. Eyink, Alexei Mailybaev +1
Turbulent flows frequently accompany physical, chemical and biological processes, such as mixing, two-phase flow, combustion and even foraging by bacteria and plankton larvae, all…
Dissipation-Range Fluid Turbulence and Thermal Noise
Gregory Eyink, Dmytro Bandak, Nigel Goldenfeld +1
We revisit the issue of whether thermal fluctuations are relevant for incompressible fluid turbulence, and estimate the scale at which they become important. As anticipated by Betc…
A Renormalization Group Approach to Spontaneous Stochasticity
Gregory L. Eyink, Dmytro Bandak
We develop a theoretical approach to ``spontaneous stochasticity'' in classical dynamical systems that are nearly singular and weakly perturbed by noise. This phenomenon is associa…