Results 71 to 80 of about 150,627 (302)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Dependence Between Order Statistics in Samples from Finite Population and its Application to Ranked Set Sampling

Ranked set sampling, finite population, order statistics, dependence,
Masao Futatsuya, Koiti Takahasi
core   +1 more source

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

Advanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

On different estimators of a population mean based on ranked sets [PDF]

A review of results concerning the problem of sampling based on ranked sets is presented. From an infinite or finite population n independent samples of n elements each are drawn.
Barbara Kowalczyk
core  

Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs

Advanced Functional Materials, EarlyView.
Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric, Gohar Soufi, Ziqiao Li, Erick Chica, Amran Abdirasheed Ali Jinow, Nada Al‐Roubaï, Noor Ahmed, Yaman Göksel, Anja Boisen   +8 more
wiley   +1 more source

Asymptotic Behaviors of Nearest Neighbor Kernel Density Estimator in Left-truncated Data [PDF]

Journal of Sciences, Islamic Republic of Iran, 2014
Kernel density estimators are the basic tools for density estimation in non-parametric statistics.  The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in  which  the  bandwidth  is varied depending on the ...
V. Fakoor
doaj  

Estimates of the correlation function of a Gaussian stationary process when its values are known in a finite set of points

Науковий вісник Ужгородського університету. Серія: Математика і інформатика, 2020
In practice, process values are usually observed at certain points in time. And based on this data, we need to draw conclusions about the behavior of the process that is being monitored.
В. Б. Трошкi, Н. В. Трошкi, П. П. Товт   +2 more
doaj   +1 more source

Statistical Model Checking for Finite-Set Model Predictive Control Converters: A Tutorial on Modeling and Performance Verification

IEEE Industrial Electronics Magazine, 2019
Statistical model checking (SMC) is used as a method for examining system behavior in all possible scenarios, and it has been successfully implemented in embedded automotive systems, sensor networks, and aeronautics and communication systems for solving problems that were beyond the abilities of traditional formal techniques.
Mateja Novak, Ulrik Mathias Nyman, Tomislav Dragicevic, Frede Blaabjerg   +3 more
openaire   +1 more source

3D Printing Innovations in Polymeric Porous and Patterned Architecture

Advanced Functional Materials, EarlyView.
Polymeric foams occupy a unique structural space between dense solids and open networks, where engineered void fraction governs mechanical compliance, thermal resistance, and mass transport. Additive manufacturing now enables precise spatial control over cellular architecture, unlocking designer foam structures across applications spanning crash ...
Dhanush Patil, Sri Vaishnavi Thummalapalli, Clarissa Westover, Arunachalam Ramanathan, M. Taylor Sobzcak, Roumika Patil, Qixuan Xiang, Tiantian Li, Sui Yang, Timothy E. Long, Hongyue Sun, Xianqiao Wang, Yang Liu, Kenan Song   +13 more
wiley   +1 more source

Vacuum Formed Spherical Triboelectric Architecture Overcoming Direction Constraints for 3D‐Omnidirectional Ultrasonic Energy Receiving

Advanced Functional Materials, EarlyView.
First vacuum formed spherical triboelectric converter for 3D‐omnidirectional ultrasonic energy receiving, with configurable DC or pulse outputs for versatile applications. ABSTRACT Ultrasound‐driven triboelectric nanogenerators (UD‐TENGs) have emerged as promising ultrasonic energy converters for underwater and biomedical applications.
Yanqin Huang, Mengjie Qin, Zixuan He, Xu Yang, Wenjie Chen, Siya Zhou, Qiyuan Zhang, Zhangwei Wang, Yicheng Wang, Yonghong Cheng, Daniel M. Mulvihill, Sandy Cochran, Qingshen Jing   +12 more
wiley   +1 more source