Results 91 to 100 of about 1,098 (282)

A Hydrogen Sulfide–Releasing Dynamic Hydrogel Modulates Coordinated Neurovascular, Immune, and Angiogenic Responses for Scar‐Suppressed Diabetic Wound Repair

Advanced Science, EarlyView.
ROS‐Responsive H2S Hydrogel (HAPPF) Coordinated Regeneration for High‐Quality Diabetic Wound Repair.A self‐regulating dynamic hydrogel is developed to deliver a fluorogenic H2S donor in response to excessive ROS. Released H2S acts as a master regulator to resolve chronic inflammation (M2 polarization), restore VEGF‐driven angiogenesis, and rebalance ...
Xuyang Ning, Ziqiang Zhou, Bangming Li, Hong Lu, Haoyang Wen, Zhoulong Huang, Gang Li, Ping Hu   +7 more
wiley   +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

Emitter Signal Deinterleaving Based on Single PDW with Modulation-Hypothesis-Augmented Transformer

Remote Sensing
Radar emitter signal deinterleaving based on pulse description words (PDWs) is a challenging task in the field of electronic warfare because of the parameter sparsity and uncertainty of PDWs.
Huajun Liu, Longfei Wang, Gan Wang
doaj   +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

Recent Advances in Programmable Metasurfaces and Meta‐Devices

Advanced Electronic Materials, EarlyView.
Programmable metasurfaces enable various novel functionalities by dynamically tuning electromagnetic wavefronts. This article provides a comprehensive review of recent advances in microwave and terahertz programmable metasurfaces, covering electrical, thermal, optical, and mechanical control mechanisms.
Linda Shao, Chong He, Nan Wang, Liming Si, Weiren Zhu   +4 more
wiley   +1 more source

Tuning Interfacial Water Dynamics via Gd‐Doped Cu2O for High‐Rate Selective CO2‐to‐Ethanol Conversion

Advanced Energy Materials, EarlyView.
A Gd‐doped Cu2O electrocatalyst disrupts rigid interfacial hydrogen‐bonding networks, creating a free‐water‐rich microenvironment. This accelerates proton‐coupled electron transfer, enabling selective high‐rate CO2‐to‐ethanol conversion with 48.5% Faradaic efficiency at industrially relevant current densities.
Hyunwoo Kim, Hyo Sang Jeon, Eugene Huh, Man Ho Han, Hyeon‐Seok Bang, Junho Lee, Jae‐Young Choi, Dong Ki Lee, Kyeongsu Kim, Byoung Koun Min, Woong Hee Lee, Hyung‐Suk Oh   +11 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Radar emitter signal recognition based on one-dimensional convolutional recurrent neural network

四川大学学报. 自然科学版, 2023
Aiming at the problem of incomplete features and low timeliness in artificial extraction of radar emitter signal, a novel recognition method is proposed based on one-dimension convolutional neural network and bidirectional gated recurrent unit.
LIU Tao-Tao, TIAN Chun-Jin, PU Yun-Wei, GUO Jiang   +3 more
doaj  

First 3-D reconstructions of target hidden beneath foliage by means of polarimetric SAR tomography

, 2012
SAR tomography (SARTom) is an imaging technique that allows multiple phase center separation in the vertical direction, leading to a 3-dimensional (3D) reconstruction of the imaged scene. Retrieval of volume structure information (e.g.
Rolf Scheiber, Nannini, Matteo, Alberto Moreira, Horn, Ralf, Moreira, Alberto, Ralf Horn, Scheiber, Rolf, Matteo Nannini   +7 more
core   +1 more source

Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes

Advanced Intelligent Systems, EarlyView.
Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil, Hyung‐Suk Kwon, Bogdan‐Ioan Popa   +2 more
wiley   +1 more source