Results 181 to 190 of about 11,041 (298)

Invariant Measure and Universality of the 2D Yang–Mills Langevin Dynamic

open access: yesCommunications on Pure and Applied Mathematics, Volume 79, Issue 8, Page 1973-2102, August 2026.
ABSTRACT We prove that the Yang–Mills (YM) measure for the trivial principal bundle over the two‐dimensional torus, with any connected, compact structure group, is invariant for the associated renormalised Langevin dynamic. Our argument relies on a combination of regularity structures, lattice gauge‐fixing and Bourgain's method for invariant measures ...
Ilya Chevyrev, Hao Shen
wiley   +1 more source

Transient Conjugate MHD Flow With Variable Thermal Conductivity: A CFD to ANN Study

open access: yesEngineering Reports, Volume 8, Issue 8, August 2026.
A star‐shaped obstacle inside a hexagonal cavity alters fluid flow and heat transfer under magnetic fields. Simulations and ANN predictions reveal that magnetic strength and material properties control cooling efficiency, supporting smarter designs for real‐time thermal management.
M. A. Forhad   +5 more
wiley   +1 more source

New Generalised Semi‐Analytical Approach for the Multidimensional Nonlinear Collisional Fragmentation Equations

open access: yesInternational Journal for Numerical Methods in Fluids, Volume 98, Issue 8, Page 980-999, August 2026.
This work aims to develop a generalised and efficient semi‐analytical method that combines the Laplace decomposition method with Pade approximation (LDMPA) to solve multidimensional nonlinear integro‐partial differential equation. For a one‐dimension case, explicit (closed‐form) solutions for the number density functions are derived for the first time.
Somveer Keshav   +4 more
wiley   +1 more source

Using DSGE and Machine Learning to Forecast Public Debt for France

open access: yesJournal of Forecasting, Volume 45, Issue 5, Page 2173-2185, August 2026.
ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos   +4 more
wiley   +1 more source

A complexity transition in displaced Gaussian Boson sampling. [PDF]

open access: yesnpj Quantum Inf
Li Z   +4 more
europepmc   +1 more source

A Data‐Driven Closed‐Loop Control Approach to Drive Neural State Transitions for Mechanistic Insight

open access: yesHuman Brain Mapping, Volume 47, Issue 11, 01 August 2026.
The study introduces a data‐driven framework combining dynamical systems reconstruction and closed‐loop control to analyze brain‐state transitions in remitted depression. Using fMRI data, we show that these individuals more easily enter but struggle to exit sad mood states, revealing altered connectivity and potential neuromodulation targets for ...
Niklas Emonds   +8 more
wiley   +1 more source

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