#PhaseTransitions

RecursiveMindRecursiveMind
2026-01-30

Extending recursive dynamics to cosmological scales. From quantum condensates to the large-scale structure of the universe—examining whether saturation thresholds and phase transitions operate at the largest observable scales.
doi.org/10.5281/zenodo.15764999

RecursiveMindRecursiveMind
2026-01-30

Systems approach thresholds. Then they reorganize—or collapse. This paper formalizes saturation dynamics across scales: the core recursion equation, boundary functions, and the Recursive Saturation Index (RSI).
doi.org/10.5281/zenodo.15338846

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

Our discovery on the impact of spatial extent of disordered dynamics on the nature of the transition in turbulent reactive flow systems got published in AIP Publishing.
doi.org/10.1063/5.0265336

2025-04-08

We are pleased to announce a second lecture from Dr. Marcello Dalmonte (ICTP) on the intricacies of statistical mechanics and phase transitions in the context of data mining the many-body problem. In this part, Marcello discusses essential concepts of the partition function, emphasizing efficient sampling strategies via Markov chains and Monte Carlo simulations. He specifically addresses the challenge of critical slowing down near phase transitions and introduces cluster algorithms as a powerful tool for effective sampling at criticality. Using the illustrative example of a three-site Ising model, Dr. Dalmonte demonstrates how temperature impacts the intrinsic dimensionality of feature spaces, providing valuable insights into many-body systems.

🎥 Don't miss this #OpenAccess opportunity to watch the lecture for free and engage in discussions with the Enabla community, including Marcello himself: enabla.com/pub/325/about

The first lecture of the same series was announced earlier: mathstodon.xyz/@enabla/1131633

#StatisticalMechanics #UnsupervisedLearning #machine_learning #MonteCarlo #PhaseTransitions #IsingModel #OpenScience

The "Characterizing Partition Functions Through Feature Space Representations in the Ising Model" lecture by Dr. Marcello Dalmonte from ICTP is now in Open Access on Enabla!. 1.1 hours, video, English.
2025-03-14

✨ ⚛️ A team of researchers, led by Professor Pasquale Scarlino, have achieved a remarkable result: capturing and studying phase changes in quantum hardware, which could hold promise for next-generation technologies like quantum computing and ultra-sensitive sensors.

#QuantumComputing #PhaseTransitions #EPFL

Read more: go.epfl.ch/60b-en

2025-03-14

✨ ⚛️ Des chercheuses et chercheurs de notre école sont parvenus à un résultat remarquable: capturer et étudier les changements de phase dans le matériel quantique. Cette avancée est prometteuse pour les technologies de prochaine génération telles que l’informatique quantique et les capteurs ultrasensibles.

#QuantumResearch #EPFL #PhaseTransitions

Plus d'informations: go.epfl.ch/60b-fr

2024-07-05

"All of this makes phase transitions interesting. They involve violence, universal truths and competition between rival states. The story of phase transitions is, quite literally, the song of fire and ice."

poetic.

damtp.cam.ac.uk/user/tong/sft/

#physics #phaseTransitions

Victoria Stuart 🇨🇦 🏳️‍⚧️persagen
2023-07-11

Absorbing Phase Transitions in Artificial Deep Neural Networks
arxiv.org/abs/2307.02284

To summarize, we believe that the this work places the order-to-chaos transition in the initialized artificial deep neural networks in the broader context of absorbing phase transitions, & serves as the first step toward the systematic comparison between natural/biological & artificial neural networks.
...

Jim Donegan 🎵 ✅jimdonegan@mastodon.scot
2023-02-05

How '#ParticleLife# #Emerges from #Simplicity

"Particle Life' is a very simple particle #System. The simulation shows the emergence of incredibly beautiful life-like structures from rudimentary rules."

youtube.com/watch?v=p4YirERTVF

#Emergence #Math #Maths #Mathematics #Rules #PhaseTransition #PhaseTransitions #Science #Evolution #TomMohr #GameOfLife #TheGameOfLife #JohnConway

#SoftMatter have just published the results of a project that Renato Assante, Davide Marenduzzo, Alexander Morozov, and I recently worked on together! What did we do and what’s new? Briefly…

#Microswimmer suspensions behave in a similar way to fluids containing kinesin and microtubules. Both systems can be described by the same system of three coupled nonlinear #PDEs.

A #LinearStabilityAnalysis of these equations suggests that variations in concentration across the system don’t significantly affect emergent #phaseBehaviour. How then can we explain #experiments that show visible inhomogeneities in #microtubule#kinesin mixtures, for instance?

With increasing activity, we move away from the quiescent regime, past the onset of #SpontaneousFlow, and deeper into the active phase, where #nonlinearities become more important. What role do concentration inhomogeneities play here?

We investigated these questions, taking advantage of the #openSource #Dedalus #spectral framework to simulate the full nonlinear time evolution. This led us to predict a #novel regime of #spontaneous #microphaseSeparation into active (nematically ordered) and passive domains.

Active flow arrests macrophase separation in this regime, counteracting domain coarsening due to thermodynamic coupling between active matter concentration and #nematic order. As a result, domains reach a characteristic size that decreases with increasing activity.

This regime is one part of the #PhaseDiagram we mapped out. Along with our other findings, you can read all about it here!

low #ReynoldsNumber #turbulence #ActiveTurbulence #CahnHilliard #ActiveMatter #NavierStokes #BerisEdwards #CondensedMatter #PhaseTransitions #TheoreticalPhysics #BioPhysics #StatisticalPhysics #FluidDynamics #ComputationalPhysics #Simulation #FieldTheory #paperthread #NewPaper #science #research #ActiveGel #activeNematic #analytic #cytoskeleton #hydrodynamics #MPI #theory

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