Tootfinder

Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Mohammad Shah Alam, William Ott, Ilya Timofeyev
https://arxiv.org/abs/2505.24099

Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
In this paper, we explore the predictive capabilities of echo state networks (ESNs) for the generalized Kuramoto-Sivashinsky (gKS) equation, an archetypal nonlinear PDE that exhibits spatiotemporal chaos. We introduce a novel methodology that integrates ESNs with transfer learning, aiming to enhance predictive performance across various parameter regimes of the gKS model. Our research focuses on predicting changes in long-term statistical patterns of the gKS model that result from varying the d…

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🌎 🌍 New agreement between GÉANT and EXA Infrastructure to deliver terabit expansion of R&E connectivity between #Europe and #NorthAmerica.
This strategic investment, procured under the GN5-IC1 project and planned in coordination with our community, with ESnet and with the ANA collaboration, …

GÉANT and EXA Infrastructure announce IRU agreement for terabit expansion of transatlantic R&E connectivity between Europe and North America | GÉANT CONNECT Online
GÉANT and digital infrastructure provider EXA Infrastructure are excited to announce the signature of an historical long-term agreement to deliver a major expansion of the transatlantic connectivity dedicated to Research and Education (R&E) collaboration between Europe and North America. Procured under GN5-IC1, the ambitious project planning and implementing GÉANT’s intercontinental connectivity investments, the new Indefeasible

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows
Vladislav Esaulov, Jieyang Chen, Norbert Podhorszki, Fred Suter, Scott Klasky, Anu G Bourgeois, Lipeng Wan
https://arxiv.org/abs/2506.17084

JANUS: Resilient and Adaptive Data Transmission for Enabling Timely and Efficient Cross-Facility Scientific Workflows
In modern science, the growing complexity of large-scale projects has increased reliance on cross-facility workflows, where institutions share resources and expertise to accelerate discovery. These workflows often involve transferring massive data over wide-area networks. While high-speed networks like ESnet and data transfer services like Globus have improved data mobility, challenges remain. Large data volumes can strain bandwidth, TCP suffers from retransmissions due to packet loss, and trad…

Algebraic flat connections and o-minimality
H\'el\`ene Esnault, Moritz Kerz
https://arxiv.org/abs/2506.07498 https://arxiv.org/pd…

Algebraic flat connections and o-minimality
We prove that an algebraic flat connection has definable flat sections in the analytic exponential structure if and only if it is regular singular with unitary monodromy eigenvalues at infinity, refining previous work of Bakker and Mullane. This provides an o minimal characterisation of classical properties of the Gauss-Manin connection.

Consideraciones para una formulaci\'on Termodin\'amica Neo-Gibbsiana aplicada a sistemas sociales
Victor Alcides Guzm\'an Rodr\'iguez, Esneiber Hibraim Solano Herrera
https://arxiv.org/abs/2506.01794

Consideraciones para una formulación Termodinámica Neo-Gibbsiana aplicada a sistemas sociales
This work proposes a first approach towards a neo-Gibbsian thermodynamic theory for social systems, grounded in quantifiable economic and cultural parameters, while deliberately avoiding direct analogies with classical thermodynamic equations of state. Building on previous thermodynamic approaches to economic modeling, we introduce a conceptual basis for defining intensive variables capable of characterizing equilibrium states and evolutionary dynamics in societies. Particular attention is give…