#NonlinearDynamics

2025-10-14

Predicting Sea States

Transferring cargo between ships and landing aircraft on carriers requires predicting how the waves will behave for the next few minutes. That’s a notoriously difficult task for several reasons: rough seas can hide a ship radar’s view and the inherent nonlinearity of ocean waves means that they can occasionally coalesce unexpectedly large (“rogue“) waves, seemingly from nowhere.

A new study describes a technique for improving sea state predictions. In their model, the team first use multiple radar returns to average out gaps in the current wave state data, then feed that interpolated data into a prediction algorithm that includes nonlinearities up to the third-order. The results, they found, gave far better predictions than current techniques, some of which had errors 3 times as high. (Image credit: R. Ding; research credit: J. Yao et al.; via APS News)

#fluidDynamics #nonlinearDynamics #oceanWaves #physics #science

Looking out across rough waves.
Prof. R. I. Sujithrisujith
2025-09-15

We discover that upon variation of an additional parameter, a complex system undergoes a change in the nature of the transition from continuous to abrupt, involving an intricate metamorphosis of the transition, published in Physical Review E by @APSphysics.

doi.org/10.1103/qn17-x37z

Prof. R. I. Sujithrisujith
2025-07-03

Excited to share our work in collaboration with @PIK_climate and National Physical Laboratory, published in Scientific Reports. We show that early warnings are too late when parameters change rapidly.
doi.org/10.1038/s41598-025-065

Prof. R. I. Sujithrisujith
2025-06-30

Had a great time at NODYCON 2025 presenting our recent results on the metamorphosis of transitions to periodic oscillations.
Thanks to Walter Lacarbonara & Muhammad Hajj for a fantastic event full of science & energy! 🚀
Already looking forward to the next one!

2024-05-01

Sürekliliğin ötesinde – ekolojide ve uluslararası ilişkilerde geleceği ve mevcut varsayımları çizgisel olmayan, üstel, değişimler ve yapısal kopuşlar üzerinden tekrar düşünmeye davet eden bir araştırma

Beyond continuationism: climate change, economic growth, and the future of world (dis)order

Michael J. Albert. Cambridge Review of International Affairs 2022;35(6):868–887.

tandfonline.com/doi/full/10.10

#internationalrelations #nonlineardynamics #climateemergency #climatejustice #socialmovements

2024-04-30

Rogue waves — rare waves much larger than any surrounding waves — have long been a part of sailors’ tales, but their existence has only been confirmed relatively recently. The exact mechanisms behind them are still a matter of debate. Laboratory experiments with mechanically-produced waves have created miniature rogue waves, but we still lack real-world observations of their formation.

To that end, researchers sailed the Southern Ocean, known for its rough waves, during austral winter and observed the state of the wind and waves nearby using stereo cameras. They found that young wind-driven waves tend to be steeper, and they move slower than the wind, as they’re still drawing energy from it. Older waves, in contrast, were shorter, less steep, and less likely have white caps from breaking. Overall, they found that strong winds could more easily drive young waves into the nonlinear growth that leads to rogue waves. (Image credit: S. Baisch; research credit: A. Toffoli et al.; via APS Physics)

https://fyfluiddynamics.com/2024/04/seeking-rogue-wave-origins/

#fluidDynamics #nonlinearDynamics #oceanWaves #physics #rogueWaves #science #wind

Rogue waves are rare but monstrously large waves whose origins are still a matter of debate.
Fabrizio Musacchiopixeltracker@sigmoid.social
2024-01-17

Predicting the effect of micro-stimulation on macaque #prefrontal activity based on spontaneous #CircuitDynamics – exciting new research by Nejatbakhsh et al. (2023) sheds light on neural ensemble interactions.

🌍 journals.aps.org/prresearch/ab

#Neuroscience #CompNeuro #NonlinearDynamics #BiologicalPhysics

FIG. 3. CF validation in recurrent networks.
2023-11-13

Hello! #introductions
I'm a #ComputationalBiologist (1st #biochemist, then #ComputerScientist). I'm faculty at UConn Health. I'm interested in many scientific areas such as #SystemsBiology, #ComputationalModeling and #Simulation, #IronMetabolism, #NonlinearDynamics, #SoftwareDevelopment. I'm one of the authors of the @copasi simulation software and its predecessor Gepasi (thus my handle). I care about #OpenAccess & #OpenSource. I am also interested in #photography, #Linux, and #EVs.

Elizabeth K :toad: 💦🌲🔥🌏elizabethk@toad.social
2023-01-17

The next time I have 25 hours -

Nonlinear Dynamics and Chaos - Steven Strogatz, Cornell University

#nonlineardynamics #chaos #studying
youtube.com/playlist?list=PLbN

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