Ivan Sudakow
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View article: Modeling dynamic ice–structure interaction with failure zones: Predicting resonance and chaotic responses
Modeling dynamic ice–structure interaction with failure zones: Predicting resonance and chaotic responses Open
This paper develops a new analytical and numerical framework to study the nonlinear dynamics of elastic structures under intermittent, shock-like loading from drifting ice floes. Unlike conventional models, we take into account a mixture o…
View article: ArcticNet for Semantic Segmentation of Meltpond Regions in the Arctic Sea Ice
ArcticNet for Semantic Segmentation of Meltpond Regions in the Arctic Sea Ice Open
As climate change drives global temperatures upward, seasonal sea ice in the Arctic is rapidly diminishing, leading to the formation of meltponds. Meltponds absorb more solar radiation compared to snow due to lower reflectivity (albedo), a…
View article: Dynamics of feedback Ising model
Dynamics of feedback Ising model Open
We study the dynamics of a mean-field Ising model whose coupling depends on the magnetization via a linear feedback function. A key feature of this linear feedback Ising model (FIM) is the possibility of temperature-induced bistability, wh…
View article: Mixed phases in feedback Ising models
Mixed phases in feedback Ising models Open
We study mean-field Ising models whose coupling depends on the magnetization via a feedback function. We identify mixed phases (MPs) and show that they can be stable at zero temperature for sufficiently strong feedback. Moreover, stable MP…
View article: Non-equilibrium dynamics in complex networks via asymmetric Glauber models
Non-equilibrium dynamics in complex networks via asymmetric Glauber models Open
This paper explores the Glauber dynamics of spin systems with asymmetric coupling, a scenario that inherently violates detailed balance, leading to non-equilibrium steady states. By focusing on weighted and heterogeneous networks, we exten…
View article: Noisy deep networks: chaos, multistationarity, and eternal evolution
Noisy deep networks: chaos, multistationarity, and eternal evolution Open
We study time-recurrent hierarchical networks that model complex systems in biology, economics, and ecology. These networks resemble real-world topologies, with strongly connected hubs (centers) and weakly connected nodes (satellites). Und…
View article: New spin models in ecology: Super multi-stationarity and chaos
New spin models in ecology: Super multi-stationarity and chaos Open
This manuscript introduces a novel spin model that captures the dynamics of ecological systems. We assume that these ecosystems consist of species whose ecological properties are completely determined by their discrete genotypes, and these…
View article: Climatology of Synoptic Non-Gaussian Meteorological Anomalies in the Northern Hemisphere during 1979–2018
Climatology of Synoptic Non-Gaussian Meteorological Anomalies in the Northern Hemisphere during 1979–2018 Open
The analysis of spatial and temporal variability in the number of non-Gaussian extreme anomalies of climatic parameters was carried out for both the initial time series and synoptic variability in the troposphere of the Northern Hemisphere…
View article: Robust morphogenesis by chaotic dynamics
Robust morphogenesis by chaotic dynamics Open
This research illustrates that complex dynamics of gene products enable the creation of any prescribed cellular differentiation patterns. These complex dynamics can take the form of chaotic, stochastic, or noisy chaotic dynamics. Based on …
View article: Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation
Recognizing the Shape and Size of Tundra Lakes in Synthetic Aperture Radar (SAR) Images Using Deep Learning Segmentation Open
Permafrost tundra contains more than twice as much carbon as is currently in the atmosphere, and it is warming six times as fast as the global mean. Tundra lakes dynamics is a robust indicator of global climate processes, and is still not …
View article: Biome stability and fragmentation under critical environmental temperature change
Biome stability and fragmentation under critical environmental temperature change Open
Critical phenomena in the climate system can cause drastic changes in the state of planetary ecosystems as well the entire biosphere. There also are mechanisms through which the biosphere can make an effect on climate. In this manuscript, …
View article: Excitable media store and transfer complicated information via topological defect motion
Excitable media store and transfer complicated information via topological defect motion Open
Excitable media are prevalent models for describing interesting effects in physical, chemical, and biological systems such as pattern formation, chaos, and wave propagation. In this manuscript, we propose a spatially extended variant of th…
View article: Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX)
Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX) Open
The dataset contains mapped melt pond zones from aerial photographs which were obtained during helicopter photography flights as part of the Healy–Oden Trans Arctic Expedition (HOTRAX) between 5 August and 30 September 2005. The detection …
View article: Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX)
Melt pond from aerial photographs of the Healy–Oden Trans Arctic Expedition (HOTRAX) Open
The dataset contains mapped melt pond zones from aerial photographs which were obtained during helicopter photography flights as part of the Healy–Oden Trans Arctic Expedition (HOTRAX) between 5 August and 30 September 2005. The detection …
View article: Statistical mechanics in climate emulation: Challenges and perspectives
Statistical mechanics in climate emulation: Challenges and perspectives Open
Climate emulators are a powerful instrument for climate modeling, especially in terms of reducing the computational load for simulating spatiotemporal processes associated with climate systems. The most important type of emulators are stat…
View article: MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice
MeltPondNet: A Swin Transformer U-Net for Detection of Melt Ponds on Arctic Sea Ice Open
High-resolution aerial photographs of Arctic region are a great source for different sea ice feature recognition, which are crucial to validate, tune and improve climate models. Melt ponds on the surface of melting Arctic sea ice are of pa…
View article: Chaotic waves serve as universal pattern generators
Chaotic waves serve as universal pattern generators Open
Excitable media are prevalent models for describing physical, chemical, and biological systems which support wave propagation. In this letter, we show that the time evolution of the medium state at the wave fronts can be determined by comp…