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#statisticalphysics

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re-#introduction
Hi Fediscience! I am an Assistant Professor of Mechanical Engineering at University of Hawaiʻi at Mānoa (Honolulu). I got here starting from Physics training with many scientific detours into data-driven models, complex systems, nanomaterial self-assembly, human learning of complex networks, naval ships, and design problems.
I grew up in Belarus and have *opinions* on that region of the world. I've been on Fediverse since late 2022 when *something* happened to our previous cybersocial infrastructure, but the previous server I was on is sunsetting. Please come say hi and recommend cool people to follow here.
I have a blog with longer thoughts on science-adjacent topics.
aklishin.science/blog/
#ComplexSystems #NetworkScience #DataScience #DynamicalSystems #CollectiveBehavior #StatisticalPhysics

Andrei A. Klishin, Ph.D.Blog — Andrei A. Klishin, Ph.D.

Exciting news! 🎉 My visionary project, grounded on complexity and network science to tackle climate change, has received a 1 million euro grant from the Italian Ministry for Research, under the prestigious FIS call (kind of "Italian ERC")! 🇮🇹🔬🌍

Immense gratitude to my collaborators and our outstanding research lab members for their unwavering support. Together, we're venturing into uncharted territories, unraveling the intricate connections between #ComplexSystems and #Climate impact. Ready to embark on this scientific journey and glad it's going to start at the Università degli Studi di Padova, a place where knowledge and ideas are truly free to flourish since 1222.

#StatisticalPhysics #ClimateChange #ItalianResearchExcellence #ComplexSystems #NetworkScience

PS: Stay tuned, going to hire soon senior postdocs and PhDs.

Four #Fields Medals were awarded for major breakthroughs in #geometry, #combinatorics, #statisticalphysics and #numbertheory, even as mathematicians continued to wrestle with how computers are changing the discipline.

In 2022, mathematicians solved a centuries-old geometry question, proved the best way to minimize the surface area of clusters of up to five bubbles and proved a sweeping statement about how structure emerges in random sets and graphs.

#mathematics
quantamagazine.org/the-biggest

Quanta MagazineThe Biggest Math Breakthroughs in 2022 | Quanta MagazineFour Fields Medals were awarded for major breakthroughs in geometry, combinatorics, statistical physics and number theory, even as mathematicians continued to wrestle with how computers are changing the discipline.

Hi, I am a theoretical physicist working in #statisticalphysics of disordered systems, #machinelearning, #informationtheory etc.. Interested in #science, #littérature (mostly in French, but also in English and Italian), #classicalmusic. I have been working on quite a few different topics, my two books "Spin glass theory and beyond", written with G. Parisi and M.A.Virasoro and "Information, Physics and Computation", written with A. Montanari, give some partial idea of my center of interest

So, it is #introduction time! I finally decided to jump here into Mastodon :)

I work on #complexsystems and #statisticalphysics , mostly applied to #neuroscience!

Really looking forward to the discussion in this space. I decided to start by following many neuro researchers from the Academics on Mastodon database github.com/nathanlesage/academ

I hope I'll find old and new friends around!

GitHubGitHub - nathanlesage/academics-on-mastodon: A list of various lists consisting of academics on MastodonA list of various lists consisting of academics on Mastodon - nathanlesage/academics-on-mastodon

With some delay, here the thread on our latest paper w/ @ArshamGhavasieh where we provide an alternative approach to build network states in terms of density matrices.

We generalize the existing approach and significantly extend it.

1/

arxiv.org/abs/2210.16701

@networkscience @complexsystems #ComplexSystems #ComplexNetworks #CollectiveBehavior #StatisticalPhysics #NetworkStates Of interest for: #ComputationalBiology #Neuroscience @neuroscience

arXiv.orgGeneralized network density matrices for analysis of multiscale functional diversityThe network density matrix formalism allows for describing the dynamics of information on top of complex structures and it has been successfully used to analyze from system's robustness to perturbations to coarse graining multilayer networks from characterizing emergent network states to performing multiscale analysis. However, this framework is usually limited to diffusion dynamics on undirected networks. Here, to overcome some limitations, we propose an approach to derive density matrices based on dynamical systems and information theory, that allows for encapsulating a much wider range of linear and non-linear dynamics and richer classes of structure, such as directed and signed ones. We use our framework to study the response to local stochastic perturbations of synthetic and empirical networks, including neural systems consisting of excitatory and inhibitory links and gene-regulatory interactions. Our findings demonstrate that topological complexity does not lead, necessarily, to functional diversity -- i.e., complex and heterogeneous response to stimuli or perturbations. Instead, functional diversity is a genuine emergent property which cannot be deduced from the knowledge of topological features such as heterogeneity, modularity, presence of asymmetries or dynamical properties of a system.

New preprint led by @valedand@twitter.com about a topic really interesting to me: the bridge between network science and artificial neural networks!

What happens if we use structured topologies or even real connectomes for some machine learning tasks?

Thread. 1/

arxiv.org/abs/2211.00161

#ComplexSystems #ComplexNetworks #CollectiveBehavior #StatisticalPhysics #BioInspiredComputing Of interest for: #ComputationalBiology #Neuroscience

#introduction #introductions

Trabajo en #Física en un Instituto de Investigación Público en #Chile , desarrollando herramientas teóricas y computacionales para la mecánica estadística #StatisticalPhysics #StatPhys

Cuando no estoy en eso, veo y leo #SciFi, #anime y #manga .

I work in #Physics in a State Research Institute in Chile, developing theoretical and computational tools for statistical mechanics.

When I'm not doing that, I watch and read SciFi, anime and manga.