Results 101 to 110 of about 1,537 (209)

Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach

Mathematical Finance, EarlyView.
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović, Pavel V. Shevchenko, Tomoko Matsui, Daisuke Murakami, Tor A. Myrvoll   +4 more
wiley   +1 more source

Likelihood Estimation for Stochastic Differential Equations with Mixed Effects

Scandinavian Journal of Statistics, EarlyView.
ABSTRACT Stochastic differential equations provide a powerful tool for modelling dynamic phenomena affected by random noise. When time series are observed for several experimental units, it is often the case that some of the parameters vary between the individual experimental units.
Fernando Baltazar‐Larios, Mogens Bladt, Michael Sørensen   +2 more
wiley   +1 more source

A Two Degree of Freedom Approach for Discrete‐Time Sliding Mode Control

International Journal of Robust and Nonlinear Control, Volume 36, Issue 13, Page 6540-6551, 10 September 2026.
ABSTRACT This paper proposes a new two degree of freedom (2‐DOF) framework for discrete‐time sliding mode control (DSMC) that decouples the disturbed evolution from its nominal counterpart. The novel nominal/disturbed subsystem separation for DSMC can be used to define multiple closed‐loop specifications. The nominal regulation (or tracking) controller
Tito L. M. Santos, Ary M. Batista
wiley   +1 more source

Collisionless Shocks: Contemporary State After Three Quarters of a Century of Research

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract The collisionless shock research started in the late 1950s. Since then, plenty of data have been accumulated due to the large number of missions in the heliosphere, providing in situ measurements of the fields and particles. The quality of these measurements has vastly improved, especially in the last two decades.
M. Gedalin, M. Balikhin, V. Krasnoselskikh   +2 more
wiley   +1 more source

Impedance of Nonelectroneutral Solid Electrolyte Interphases With Nanopores: A Theoretical Model

Advanced Science, Volume 13, Issue 43, 3 August 2026.
Physical modeling reveals that often‐neglected non‐electroneutrality and nanopores in the solid‐electrolyte interphase (SEI) govern the impedance behavior. Under nonreactive conditions, the low‐frequency constant‐phase element (CPE) phenomenon can be attributed to the nonelectroneutral local conditions in the SEI.
Chenkun Li, Jun Huang
wiley   +1 more source

Exploring the Chavy–Waddy–Kolokolnikov Model: Analytical Study via Recently Developed Techniques

Journal of Mathematics
This work explores the analytical soliton solutions to the Chavy–Waddy–Kolokolnikov equation (CWKE), which is a well-known equation in biology that shows how light-attracted bacteria move together.
Jan Muhammad, David Yaro, Usman Younas
doaj   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang, Andrew Bai, Alexandra Bermudez, Yunqi Hong, Zoe Latham, Iris Sloan, Michael Liu, Vishrut Goyal, Cho‐Jui Hsieh, Neil Y. C. Lin   +9 more
wiley   +1 more source

Physics‐Based Transmission Line Model for Explanation of Electrochemical Impedance Spectroscopy Spectra of Vanadium‐Based Flow Batteries

Batteries &Supercaps, Volume 9, Issue 8, August 2026.
A physics‐based transmission line model translates the internal architecture of a vanadium flow battery—ion‐selective membrane, electrolyte‐filled carbon‐felt pores, and diffusion layer— into its impedance spectrum. This general, top‐down framework reproduces measured spectra across membrane type, flow rate, and state of charge, and simplifies to a ...
Sara Drvarič Talian, Thorben Sieling, Ervin Rems, Andreas Linhart, Jan Grosse Austing, Jože Moškon, Miran Gaberšček   +6 more
wiley   +1 more source

Impact of Iridium Crucible Aging on Cz‐YAG Crystal Quality and Process Economy: A Data‐Driven Study

Crystal Research and Technology, Volume 61, Issue 8, August 2026.
Machine learning models trained on CFD‐generated data reveal how iridium crucible aging influences key Czochralski YAG crystal growth outcomes. Interpretable analyses uncover the dominant role of iridium loss and its interactions with process variables, enabling accurate prediction of heating power, interface shape, and the ratio of growth rate to ...
Natasha Dropka, Xiao Le Ye, Kunal Meshram, Debajyoti Biswas, Martin Holena   +4 more
wiley   +1 more source