Results 211 to 220 of about 509,496 (250)

Testing the Limits of Surface QG Theory With Deep Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Surface Quasi‐Geostrophic (SQG) theory provides a closed‐form mapping from surface buoyancy to interior stream function under the assumption that interior potential vorticity (PV) vanishes (Q=0) $(Q=0)$. In realistic flows, however, the interior PV is typically nonzero.
Wenyu Shan   +5 more
wiley   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

open access: yesMathematical Finance, Volume 36, Issue 4, Page 826-845, October 2026.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici   +3 more
wiley   +1 more source

Fractional Moment Theory for Anomalous Transport: A Unified Framework for Lévy Flights, Fractals, and Complex Dynamical Systems

open access: yesMathematical Methods in the Applied Sciences, Volume 49, Issue 13, Page 14964-15009, 15 September 2026.
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley   +1 more source

Origin, Strength, and Speed of the Nonlinear Optical Response of Transparent Conducting Oxides to Single‐Cycle Optical Pulses

open access: yesNanophotonics, Volume 15, Issue 17, 11 September 2026.
A quantum‐coherent density‐matrix study reveals a predominantly cumulative thermo‐optic nonlinear response in ITO under extremely short pulses, with coherent electron dynamics leaving signatures in macroscopic polarization and permittivity. Remarkably, the permittivity dynamics are accurately reproduced by a simple thermal model. We also generalize the
Ieng‐Wai Un   +2 more
wiley   +1 more source

Detection Techniques for Polycyclic Aromatic Hydrocarbons and Their Metabolites: A Review

open access: yesphysica status solidi (a), Volume 223, Issue 17, 9 September 2026.
Overview of the different techniques that can be used to detect polyclic aromatic hydrocarbons and their metabolites. Polycyclic aromatic hydrocarbons (PAHs) are a class of organic pollutants affecting the environment as well as individual health that has been linked to various diseases including cancer.
Martin Wolfgang Konrad   +3 more
wiley   +1 more source

PARSEC.py: A Python‐Based Real‐Space Kohn–Sham Density Functional Theory Code Accelerated by Machine Learned Charge Density

open access: yesJournal of Computational Chemistry, Volume 47, Issue 23, September 5, 2026.
PARSEC.py is a Python‐based real‐space Kohn–Sham DFT framework that leverages the Python scientific ecosystem for transparent, modular integration of machine‐learned densities and GPU acceleration. This unified design enables more efficient and scalable first‐principles simulations of large chemical and materials systems. ABSTRACT PARSEC.py is a Python‐
Zeyi Zhang   +4 more
wiley   +1 more source

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