Results 161 to 170 of about 10,270 (261)

Strategy of Triple‐Gradient in Binary Pixels for Flexible Pressure Sensing with High Sensitivity and Wide‐Range Linearity

Advanced Science, EarlyView.
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu, Xiao Xu, Fengming Hu, Yuanzhe Liang, Zidong Yin, Biao Qi, Ruolin Liu, Ziyi Dai, Jianyi Luo, Bingpu Zhou   +9 more
wiley   +1 more source

Gigahertz-rate thin-film lithium niobate receiver for time-bin quantum communication. [PDF]

Light Sci Appl
Bernardi A, Clementi M, Bacchi M, Bolaños MR, Congia S, Garrisi F, Martellosio A, Passoni M, Wrobel A, Agnesi C, Vallone G, Villoresi P, Sabattoli FA, Galli M, Bajoni D.   +14 more
europepmc   +1 more source

Mechanical Intelligence in Bone Regeneration: Bridging Material and Cellular Memory for Enhanced Healing

Advanced Science, EarlyView.
Mechanical intelligence reframes bone regeneration as a time‐dependent coupling between material and cellular memory. Biomaterials store and release mechanical history, while cells retain prior cues and remodel the repair niche. Matching these memories to healing stages may guide stage‐specific scaffolds, sensing‐assisted prediction, mechanical dosing,
Jin Tian, Guoyou Huang, Yang Chen, Teng Ma, Bo Cheng, Feng Xu, XiaoKang Li, Pei Yang, Ting Wen   +8 more
wiley   +1 more source

Inner synchronization of controlled multi-valued logical networks. [PDF]

PLoS One
Deng Y, Qi X, Liang Y.
europepmc   +1 more source

Non‐Uniform Space‐Time‐Coding Modulation for Low‐Complexity Diagnostics of Reconfigurable Intelligent Surfaces

Advanced Electronic Materials, EarlyView.
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen, Lei Zhang, Yi Ning Zheng, Bing Bing Zhu, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Vincenzo Galdi, Tie Jun Cui   +8 more
wiley   +1 more source

Coding for channels with intermittent feedback and its security analysis. [PDF]

PLoS One
Yang J, Huang Q, Lin Y.
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

Bio‐Inspired Mechanical Amplification Block on Implantable Tactile Sensors

Advanced Electronic Materials, EarlyView.
 . ABSTRACT Implantable strain sensors offer opportunities for continuous biomechanical monitoring, but their performance deteriorates severely once embedded in soft tissue due to mechanical shielding that suppresses strain transmission to the sensing layer.
Sungbin Choi, Yeong‐sinn Ye, Chanho Jeong, Yujin Mun, Suyoun Oh, Tae‐il Kim   +5 more
wiley   +1 more source

High-frequency EEG synchronization modes as a stable biometric signature in humans. [PDF]

iScience
Vaezi H, Hossein-Zadeh GA.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source