#non-lineardynamics — Public Fediverse posts

Black holes and topological vortices in a discrete spacetime lattice.
This is not an animation.

#Topology
#Gravity
#blackholes
#nonlineardynamics
#Superfluid #Physics
#Simulation
#QuantumPhysics
#computationalphysics
#Emergence

A useful reminder in fluid mechanics: maximizing velocity is not the same as maximizing momentum or energy transfer. This paper explores how global mass balance constrains synthetic jet actuator performance.

🔗 https://doi.org/10.1063/5.0326035

#FluidDynamics #Physics #FlowControl #SyntheticJets #NonlinearDynamics

🧠 #CulturalEvolution – Why #Brains need to interact 🧑‍🧑‍🧒

📺 https://youtu.be/C2FVIbAyaH4

📎 https://philosophies.de/index.php/2022/03/22/kann-das-gehirn-das-gehirn-verstehen/

#CulturalEvolution #Consciousness #Neuroscience #CognitiveNeuroscience #WolfSinger #PhilosophyOfMind #Interaction #SocialCognition #NeuralCorrelates #NCCP #Qualia #Self #I #Enactivism #ComplexSystems #NonlinearDynamics #FreeWill #Responsibility #ArtificialIntelligence #AI #QuantumPhysics #AntonZeilinger

Watching Waves on the Nanoscale

It’s tough to simulate nonlinear wave dynamics, so scientists often test theories in wave flumes, where they can create more controlled waves than what we see in the wild. But conventional wave flumes are big–meters-long, complicated equipment–and can only test a small range of conditions. To reach more extreme nonlinear dynamics, researchers have turned to a chip-based approach. These 100-micron-long wave flumes carry a film of superfluid helium less than 7 nanometers thick. But despite that tiny size, the system can reach levels of nonlinearity five orders of magnitude greater than their full-sized counterparts. (Image and research credit: M. Reeves et al.; via Physics Today)

Toward Predicting Rogue Waves

Rogue waves were once the stuff of nautical legend. Tales of giant lone waves were considered sailors’ tall tales, until an oil rig in the North Sea was hit by a 25.6-meter wave on 1 January 1995. The wave was more than twice the height of any others around it and much steeper, too. Since then, scientists have been working to understand how and why these rogue waves form.

A recent study, like many others, attributes rogue waves to the subtle nonlinearities of ocean waves, which don’t match a smooth sinusoid even though they are sometimes modeled that way. When it comes to rogue waves, the sharpness of a wave’s peak and flattening of its trough affect whether waves come together into a lone giant.

The study is based on 18 years worth of wave data collected at an offshore platform in the North Sea. With such an extensive data set, researchers were able to find patterns in the waves that precede the arrival of a rogue wave. That’s an important step toward being able to predict a rogue wave, which would help protect platforms, ships, and personnel. (Image credit: C. Wou; research credit: S. Knobler et al.; via SciAm)

🧠 New preprint on adaptive contagion dynamics on #hypergraphs by Mancastroppa, Karsai, & Barrat.

The key result: adaptive, locally informed behavior can neutralize explosive phase transitions in higher-order contagion. Group-level awareness suppresses nonlinear reinforcement, shrinks bistability, and can turn a discontinuous transition into a continuous one. A nice mechanistic link between adaptivity, higher-order interactions, and phase transitions.

#ComplexSystems #NonlinearDynamics

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

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

New on 'Stuff': Book Review - Thinking in Systems #⭐️⭐️⭐️ #book-review #english #systems-thinking #systems-theory #non-linear-dynamics https://stuff.graves.cl/posts/2024-03-10_22_04-book-review-thinking-in-systems.html

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.

🌍 https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.5.043211

#Neuroscience #CompNeuro #NonlinearDynamics #BiologicalPhysics

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.

youtube.com/@ComplexityExplorer
#chaostheory #chao #non-lineardynamics

Discussion meeting on "Patterns Dynamics Computation" on 5 Dec. The Institute of Mathematical Sciences. Chennai. Live stream on YouTube.

https://pbs.twimg.com/media/FiFQTBWVIAA4uri?format=jpg&name=large

#dynamicalsystems #nonlineardynamics
#statisticalPhysics
#complexity

here are hashtags about science topics I care about:
#ScienceMastodon #SystemsBiology #ComputationalBiology #NonlinearDynamics
#ComputationalModeling #MathematicalBiology #OpenScience #Bioinformatics #ChemicalKinetics #Metabolism #Biochemistry #CellBiology #GeneRegulation