Tootfinder

On dynamics of gasless combustion in slowly varying periodic media: periodic fronts, their stability and propagation-extinction-diffusion-reignition pattern
Amanda Matson, Leonid Kagan, Claude-Michel Brauner, Gregory Sivashinsky, Peter V. Gordon
https://arxiv.org/abs/2403.03144

On dynamics of gasless combustion in slowly varying periodic media: periodic fronts, their stability and propagation-extinction-diffusion-reignition pattern
In this paper we consider a classical model of gasless combustion in a one dimensional formulation under the assumption of ignition temperature kinetics. We study the propagation of flame fronts in this model when the initial distribution of the solid fuel is a spatially periodic function that varies on a large scale. It is shown that in certain parametric regimes the model supports periodic traveling fronts. An accurate asymptotic formula for the velocity of the flame front is derived and stud…

Dutch greenhouse gas #emissions down by 6% last year, to 34% below their 1990 level!
Emissions from electricity generation down 22% year-on-year thanks to more renewable, less fossil electricity.
Transport emissions up by 9% due to growth in aviation.

Greenhouse gas emissions 6 percent lower in 2023
Greenhouse gas (GHG) emissions were 6 percent lower in 2023 than in 2022. This was mainly due to 22 percent lower emissions in the electricity sector. Less electricity was produced from coal and natural gas. Statistics Netherlands (CBS) and the National Institute for Public Health and the Environment (RIVM)/Emissions Register report this on the basis of provisional quarterly figures on GHG emissions, in accordance with the IPCC guidelines.

Transition from weak turbulence to collapse turbulence regimes in MMT model
Ashleigh Simonis, Yulin Pan
https://arxiv.org/abs/2402.18464 https://

Transition from weak turbulence to collapse turbulence regimes in MMT model
It is well known that wave collapses can emerge from the focusing one-dimensional (1-D) Majda-McLaughlin-Tabak (MMT) model as a result of modulational instability. However, how these wave collapses affect the spectral properties and statistics of the wave field has not been adequately studied. We undertake this task by simulating the forced-dissipated 1-D MMT model over a range of forcing amplitudes. Our results show that when the forcing is weak, the spectrum agrees well with the prediction by…

This https://arxiv.org/abs/2309.09001 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Bright traveling breathers in media with long-range, nonconvex dispersion
The existence and properties of envelope solitary waves on a periodic, traveling wave background, called traveling breathers, are investigated numerically in representative nonlocal dispersive media. Using a fixed point computational scheme, a space-time boundary value problem for bright traveling breather solutions is solved for the weakly nonlinear Benjamin-Bona-Mahony equation, a nonlocal, regularized shallow water wave model, and the strongly nonlinear conduit equation, a nonlocal model of …

Edge-wave phase-shifts versus normal-mode phase-tilts in an Eady problem with a sloping boundary
Julian Mak, Nili Harnik, Eyal Heifetz, Gautam Kumar, Ellie Q. Y. Ong
https://arxiv.org/abs/2404.12417

Edge-wave phase-shifts versus normal-mode phase-tilts in an Eady problem with a sloping boundary
One mechanistic interpretation of baroclinic instability is that of mutual constructive interference of Rossby edge-waves. While the two edge-waves and their relative phase-shifts are invoked as part of the mechanistic interpretation, the phase-tilts of the related normal modes are often presented instead. Here we highlight the differences between edge-wave phase-shifts and normal-mode phase-tilts, in the context of an Eady problem modified by the presence of a sloping boundary. We argue and pr…

Suppressing Modulation Instability with Reinforcement Learning
Nikolay Kalmykov, Rishat Zagidullin, Oleg Rogov, Sergey Rykovanov, Dmitry V. Dylov
https://arxiv.org/abs/2404.04310 …

Suppressing Modulation Instability with Reinforcement Learning
Modulation instability is a phenomenon of spontaneous pattern formation in nonlinear media, oftentimes leading to an unpredictable behaviour and a degradation of a signal of interest. We propose an approach based on reinforcement learning to suppress the unstable modes by optimizing the parameters for the time modulation of the potential in the nonlinear system. We test our approach in 1D and 2D cases and propose a new class of physically-meaningful reward functions to guarantee tamed instabili…