Results 121 to 130 of about 359,176 (290)

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Exploring the Potential of Zero‐Dimensional Carbon Nanomaterials in Photoluminescent, Electrochemiluminescent and Electrochemical Sensors

Advanced Materials Interfaces, EarlyView.
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins, Jeferson Luiz Gogola, Ava Gevaerd, Cristiane Kalinke, Paulo Roberto de Oliveira, Fabio Roberto Caetano, Bruno Campos Janegitz, Márcio Fernando Bergamini, Luiz Humberto Marcolino‐Junior   +8 more
wiley   +1 more source

Dynamic bandwidth allocation algorithm based on transmission rate adaptation

Tongxin xuebao, 2014
A dynamic bandwidth allocation algorithm was proposed based on the transmission rate adaptation to guaran-tee the quality of service (QoS) for multi-service in heterogeneous wireless network. According to the proposed transmis-sion rate priority decision
Geng CHEN, Wei-wei XIA, Lian-feng SHEN
doaj   +2 more sources

Evolution of Materials and Device Stacks for HfO2‐Based Ferroelectric Memories

Advanced Materials Interfaces, EarlyView.
This review summarizes engineering strategies for HfO2 based ferroelectric memories with focus on FeCAP and FeFET structures. It describes how dopant design, stress effects, and interface engineering improve the bulk ferroelectric response. It further discusses how channel engineering supports reliable memory characteristics and scalable integration ...
Eunjin Kim, Jiyong Woo
wiley   +1 more source

An Efficient Superframe Structure with Optimal Bandwidth Utilization and Reduced Delay for Internet of Things Based Wireless Sensor Networks. [PDF]

Sensors (Basel), 2020
Khan S, Alvi AN, Javed MA, Roh BH, Ali J.   +4 more
europepmc   +1 more source

High‐Sensitivity Terahertz Gas Sensing Enabled by Undercut Metal‐Dielectric‐Metal Metamaterial

Advanced Materials Interfaces, EarlyView.
A terahertz (THz) metamaterial gas sensor is demonstrated using a metal–dielectric–metal (MDM) absorber with an undercut dielectric layer, which enlarges the gas‐replaced volume and strengthens refractive‐index perturbation of the resonant mode. A reflection dip at 0.766 THz is observed, and acetone–nitrogen tests yield concentration‐dependent shifts ...
Naoki Inomata, Yuki Sakai, Yoshiaki Kanamori   +2 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

On parameter estimation for locally stationary long-memory processes [PDF]

We consider parameter estimation for time-dependent locally stationary long-memory processes. The asymptotic distribution of an estimator based on the local infinite autoregressive representation is derived, and asymptotic formulas for the mean squared ...
Jan Beran
core  

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source