Results 101 to 110 of about 3,041 (248)

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source

Distributed Active-Passive Reconfigurable Intelligent Surface Assisted MISO Secure Communications

IEEE Access
This paper addresses the secure communication problem in a distributed active-passive reconfigurable intelligent surface (RIS) assisted multiple-input single-output (MISO) scenario with a single-antenna malicious eavesdropper.
Yi Peng, Yu Zhang, Qingqing Yang, Jian Tang, Jianming Wang, Hui Li   +5 more
doaj   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Channel estimation for reconfigurable intelligent surface-assisted mmWave based on Re'nyi entropy function. [PDF]

Sci Rep, 2022
Albataineh Z, Hayajneh KF, Shakhatreh H, Athamneh RA, Anan M.   +4 more
europepmc   +1 more source

Electrically Tunable Piezotronic Transistor by Coupling Interface Polar Symmetry and Strain Gradient

Advanced Science, EarlyView.
A macroscale tip‐induced strain gradient generates bulk piezo‐charges in GaN, enabling bias‐controlled shielding and selective Schottky barrier modulation. This strain‐gradient piezotronic transistor exhibits electrically switchable high‐ and low‐sensitivity states, providing ultrahigh strain sensitivity and wide tunability for adaptive mechanical ...
Gongwei Hu, Xiaoming Dong, Yihan Zhang, Yong Chao, Menglu Li, Min Liu, Liqing Pan, Lijie Li, Wei Huang, Fobao Huang   +9 more
wiley   +1 more source

AI-Native Entanglement-Sustained Reconfigurable Intelligent Surfaces for Hybrid Quantum-Classical THz-Enabled 6G Networks

IEEE Open Journal of the Communications Society
Quantum-classical hybrid communication is emerging as a key enabler for future 6G networks, where THz communication and quantum services are expected to coexist over intelligent and reconfigurable wireless infrastructures. A fundamental challenge in such
Shweta Singh, Kumar Sekhar Roy, Rahul Kumar   +2 more
doaj   +1 more source

Temporal Neural Network Framework Adaptation in Reconfigurable Intelligent Surface-Assisted Wireless Communication. [PDF]

Sensors (Basel), 2023
Sejan MAS, Rahman MH, Aziz MA, You YH, Song HK.   +4 more
europepmc   +1 more source

Graphene Aerogels With Spherical Pore Structure for Broad Frequency Regulation and Enhanced Low‐Frequency Response

Advanced Science, EarlyView.
A graphene aerogel with a spherical‐pore structure is constructed via microbubble templating. This unique architecture suppresses strain‐induced percolation of conductive networks, enabling dynamic frequency tuning. It also delivers enhanced low‐frequency absorption with an effective absorption bandwidth of 2.56 GHz, covering 91% of the low‐frequency ...
Liang Li, Jiale Yan, Gengping Wan, Changlong Du, Yubing Lv, Yongzhu Yan, Zhaoyang Li, Guizhen Wang   +7 more
wiley   +1 more source

Optimal Deployment Strategy for Reconfigurable Intelligent Surface under LoSD via Joint Active and Passive Beamforming. [PDF]

Entropy (Basel), 2023
Zhao K, Song Z, Xiong J.
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source