Results 181 to 190 of about 5,327 (264)

Terahertz Channel Modeling, Estimation and Localization in RIS‐Assisted Systems

Advanced Electronic Materials, EarlyView.
Reconfigurable intelligent surfaces have become a recent intensive research focus. Based on practical applications, channel strategies for RIS‐assisted terahertz wireless communication systems are categorized into three different types: channel modeling, channel estimation, and channel localization.
Hongjing Wang, Weipeng Wang, Xuan Cong, Shiyu Wang, Gao Li, Sen Gong, Lin Huang, Hongxin Zeng, Yaxin Zhang, Ziqiang Yang   +9 more
wiley   +1 more source

Optimizing drawing frame variables to enhance polyester spun yarn quality using soft computing techniques. [PDF]

Sci Rep
Rezahasani M, Savadroodbari HA, Razbin M, Johari MS.   +3 more
europepmc   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Scalable Wheat Bran‐Algae Composites for Edible Electronics with Spray‐Coated Food‐Grade Conductive Inks

Advanced Electronic Materials, EarlyView.
A fully edible wheat bran–algae substrate is fabricated through scalable mould‐compression and spray‐coating, enabling robust, food‐grade platforms for sustainable electronics. A chitosan barrier improves water resistance and ink compatibility, while activated‐carbon conductive films form uniform electrodes with Ohmic behaviour.
Jaz Johari, Muhua Zhu, Zhiging Wang, Yichen Lang, Georgios Nikiforidis, Mingqing Wang, Mengyan Nie, Shahab Akhavan   +7 more
wiley   +1 more source

Stable Analog Weight Programming in Single-Crystalline van der Waals Ferroelectric Transistors for Reliable Computing-in-Memory. [PDF]

Adv Mater
Li M, Yang FS, Liu Y, Zhang C, Li E, Yang J, Lin CY, Liu H, Luo C, Chien HC, Chang YM, Yang JC, Shen CH, Chueh YL, Li J, Zhang J, Wu JL, Chiu PW, Lin YF.   +18 more
europepmc   +1 more source

Exceptional Antimodes in Multi‐Drive Cavity Magnonics

Advanced Electronic Materials, EarlyView.
Driven‐dissipative cavity‐magnonics provides a flexible platform for engineering non‐Hermitian physics such as exceptional points. Here, using a four‐port, three‐mode system with controllable microwave interference, antimodes and coherent perfect extinction (CPE) are realized, enabling active tuning to antimode exceptional points.
Mawgan A. Smith, Ryan D. McKenzie, Alban Joseph, Robert L. Stamps, Rair Macêdo   +4 more
wiley   +1 more source

Robust Beamforming Design for Energy Efficiency and Spectral Efficiency Tradeoff in Multi-STAR-RIS-Aided C-HRSMA. [PDF]

Sensors (Basel)
Teng S, Lin X, Wang Y.
europepmc   +1 more source

Aging and Electrical Stability of DNTT Honey‐Gated OFETs

Advanced Electronic Materials, EarlyView.
DNTT honey‐gated organic transistors were fabricated and evaluated to assess short‐ and long‐term stability under electrical stress and aging. Short‐term transfer measurements (five days, 40 sweeps/day) showed minimal parameter shift, while extended measurements revealed gradual degradation over weeks.
Douglas H. Vieira, Ana C. de Paula, José D. F. Dias, Maria H. L. O. Fung, Rafael Furlan de Oliveira, Gabriel L. Nogueira, Keli F. Seidel, José P. M. Serbena, Neri Alves   +8 more
wiley   +1 more source

The Farsi version of effortless perfectionism scale: exploring psychometric properties. [PDF]

BMC Psychol
Peimanpak F, Karimi S, Abdollahi A.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source