Results 101 to 110 of about 119 (119)
Western US Subseasonal Atmospheric River Prediction in the Global‐Nested GFDL SHiELD Model
Abstract Throughout the western US communities rely on atmospheric rivers (ARs) to fill reservoirs, accumulate snowpack, and mitigate drought while remaining wary of their potential to produce widespread flooding, debris flows, and property/infrastructure damage.
Breanna L. Zavadoff+7 more
wiley +1 more source
Modeling Dynamic Electrochemical Impedance Spectroscopy Using a Linearization Technique
This article investigates the modeling of dynamic electrochemical impedance spectroscopy. Using a linearization technique, three mathematical models are defined – dynamic, stationary, and filtered. The results show a closeness of the dynamic model to the experimental practice and significant effects of nonstationarity in the low‐frequency region.
Cécile Pot d'or+3 more
wiley +1 more source
ABSTRACT The highly anisotropic, multi‐scale nature of fusion plasma simulations in tokamaks, combined with the complexity in the geometries of plasma‐facing components and magnetic equilibrium, challenges numerical schemes. They therefore require the development of advanced numerical techniques to enhance computational efficiency and enable codes to ...
Marcello Capasso+3 more
wiley +1 more source
ABSTRACT This work addresses the problem of developing a nonfragile sliding mode observer for fractional‐order complex networked systems (FO‐CNS) under stochastic network attacks. The proposed approach employs a combination of event‐triggered techniques. First, a nonfragile fractional‐order state observer is developed, enabling the design of a suitable
Xin Meng+2 more
wiley +1 more source
Electrosorbed ions under nanoconfinement (see TOC figure) critically reshape electrochemical potentials and impact ion transport in porous electrodes. By integrating modified Poisson–Nernst–Planck simulations with multilayered graphene membrane experiments, this study establishes a scaling relation and reveals electrosorption‐enhanced transport ...
Jinsha Liao+5 more
wiley +1 more source
Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela+6 more
wiley +1 more source
Controlling the Crystallization Kinetics of Low Loss Phase Change Material Sb2S3
This paper explores the glass dynamics and crystallization kinetics of antimony sulfide (Sb2S3), and its implications for optoelectronic technologies. It highlights how adjusting sample dimensions influences crystallization kinetics, shifting from growth‐driven to nucleation‐driven processes. The findings emphasize the importance of understanding these
Felix Hoff+4 more
wiley +1 more source
Doubly robust criterion for causal inference
Abstract In causal inference, semiparametric estimation using propensity scores has rapidly developed in various directions. At the same time, although model selection is indispensable in statistical analysis, an information criterion for selecting the regression structure between the potential outcome and explanatory variables has not been well ...
Takamichi Baba, Yoshiyuki Ninomiya
wiley +1 more source
Noisy matrix completion for longitudinal data with subject‐ and time‐specific covariates
Abstract In this article, we consider the imputation of missing responses in a longitudinal dataset via matrix completion. We propose a fixed‐effect, longitudinal, low‐rank model that incorporates both subject‐specific and time‐specific covariates. To solve the optimization problem, a two‐step optimization algorithm is proposed, which provides good ...
Zhaohan Sun, Yeying Zhu, Joel A. Dubin
wiley +1 more source
Some of the next articles are maybe not open access.
Functions and mechanisms of non-histone protein acetylation
Nature Reviews Molecular Cell Biology, 2018Takeo Narita, Chunaram Choudhary
exaly