Results 51 to 60 of about 4,889,303 (231)

Ferroionic Electrostatic Landscapes Enabling Wireless Energy Harvesting, Storage, and Sensing

Advanced Electronic Materials, EarlyView.
By integrating experiments and electrostatic field simulations, we show that long‐range wireless coupling in Li‐based ferroionics devices emerges from the cooperative interaction between ionic migration and electronic polarization. This coupling sustains self‐polarized electrostatic fields across centimeter‐scale air gaps without external bias or ...
M. Helena Braga, Beatriz M. Gomes, António B. Vale, Beatriz A. Maia, Ilídio B. Costa, Filipa Braz, Jorge C. Ribeiro, João C. Ribeiro   +7 more
wiley   +1 more source

Mathematical Model of Non-stationary Heat Conduction in the Wall: Asymmetric Problem with the Boundary Conditions of Imperfect Heat Transfer

MATEC Web of Conferences, 2016
This paper deals with the study of a non-stationary heat conduction in the solid wall. It is focused on mathematical modelling of its asymmetric heating and cooling by imperfect heat transfer to both sides of the wall.
Charvátová Hana, Zálešák Martin
doaj   +1 more source

Measuring Inequalities from the Law of Pareto's Type [PDF]

The Egyptian Statistical Journal, 2009
The study, from the statistical point of view, of empirical distributions, necessarily leads to the theoretical ones which generate these last and permit to understand them. In Social sciences, there are relatively few theoretical laws elected.
Mamadou-Youry Sall
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real‐World Data

Advanced Intelligent Discovery, EarlyView.
This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley   +1 more source

Analysis on characteristics and causes of the Southwest Vortex asymmetric structure during one rainstorm in the Sichuan Basin

暴雨灾害
To gain an in-depth understanding of the asymmetric structure of the Southwest Vortex producing rainstorms, the rainstorm process in the Sichuan Basin on 30 June 2013 was investigated in this study.
Chengzhi DENG, Jie CAO, Juan LUO, Guobing ZHOU, Fan XIA, Yanbing ZHAO   +5 more
doaj   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Bayesian quantile semiparametric mixed-effects double regression models

Statistical Theory and Related Fields, 2021
Semiparametric mixed-effects double regression models have been used for analysis of longitudinal data in a variety of applications, as they allow researchers to jointly model the mean and variance of the mixed-effects as a function of predictors ...
Duo Zhang, Liucang Wu, Keying Ye, Min Wang   +3 more
doaj   +1 more source

Synergistic Effect on Enhanced Oil Recovery in High Salinity Carbonate Reservoirs Using a Novel PEI‐Functionalized Carbon Nanotube Nanocomposite

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Enhancing oil recovery (EOR) in mature reservoirs is hindered by high interfacial tension (IFT) and oil‐wet rock formations, especially under harsh, high‐salinity conditions. This study aims to overcome these limitations by synthesizing a novel carbon nanotube nanocomposite covalently grafted with polyethylenimine and non‐covalently ...
Mohamed Abu Shuheil, Dilipkumar S. Patel, N. Beemkumar, Tariq Abdulkader Alrihaim, Dhirendra Nath Thatoi, Ripendeep Singh, Rohit Kumar, Parminder Singh, Ahmad Khalid   +8 more
wiley   +1 more source

Approximating the distributions of estimators of financial risk under an asymmetric Laplace law

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Department of Statistics, University of Florida, P.O. Box 118545, Gainesville, FL 32611, USA ( host institution ), Trindade, A. Alexandre, Zhu, Yun   +2 more
openaire   +4 more sources