Results 41 to 50 of about 119 (119)

Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design

Advanced Materials Technologies, EarlyView.
Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo, Bhavna Gupta, Akash Saxena, Alexandra P. Veltri, Wen Li, James R. Siegenthaler, Erin K. Purcell   +6 more
wiley   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

Advanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng, Junichiro Shiomi, Takayuki Yamada   +2 more
wiley   +1 more source

Progress in Surface Plasmon and Other Resonance Biosensors for Biomedical Applications

Advanced Materials Technologies, EarlyView.
This is the shortened version: Recent advancements in surface plasmon resonance and other optical resonance biosensors for biomedical applications are presented. Advanced sensing strategies are examined for the detection of diverse analytes, integration of nanomaterials and machine learning, and emerging nonplasmonic modes like guided mode resonance ...
Faten Bashar Kamal Eddin, Houxin Fan, Zhenchao Liu, Paolo Donati, Youssef Amin, Yap Wing Fen, Junbo Liang, Pier Paolo Pompa, Sailing He   +8 more
wiley   +1 more source

Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network‐Based fs Laser Pulsed Parameter Estimation for MoOx Formation

Advanced Photonics Research, EarlyView.
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel, Miroslava Cano‐Lara, Andres A. Garcia‐Granada, Andres Espinal, Marcos J. Villaseñor‐Aguilar, Leonardo Martinez‐Jimenez, Horacio Rostro‐Gonzalez   +6 more
wiley   +1 more source

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

Advanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu, Yihang Di, Mengmeng Zhang, Zhenbo Ren, Jianglei Di, Jianlin Zhao   +5 more
wiley   +1 more source

Optical Wireless Communications with Metasurfaces: Current Status and Potential for Intelligent Communications

Advanced Photonics Research, EarlyView.
Optical wireless communications (OWCs) provide a promising alternative to spectrum‐congested microwave wireless communications. Recently, the use of metasurfaces with sub‐wavelength features for dynamic beam steering, beam manipulation, and spatial or optical‐angular‐momentum mode generation, conversion, and multiplexing in OWCs is proposed and ...
Ke Wang, Chengwei Fang, Md Osman Ali, Xiaojun Chen, Safa Alghadi, Shuo Li, Jiayuan He, Sithamparanathan Kandeepan   +7 more
wiley   +1 more source

Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation

Advanced Robotics Research, EarlyView.
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu, Jingzong Zhou, Caio Mucchiani, Konstantinos Karydis   +3 more
wiley   +1 more source

Integration of Soft‐Robotics and Deep Learning to Assess the Coordinated Biosonar Emission and Reception Dynamics in Hipposiderid Bats

Advanced Robotics Research, EarlyView.
Combining a biomimetic soft‐robot with deep‐learning data analytics sheds light on a unique peripheral dynamics seen in the biosonar system of bats: Bats modulate their ultrasonic biosonar signals upon emission as well as reception with variable, yet highly coordinated motion patterns of their noseleaves and pinnae.
Shuxin Zhang, Ruihao Wang, Xiaoyan Yin, Luhui Yang, Rolf Müller   +4 more
wiley   +1 more source

Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems

Advanced Sensor Research, EarlyView.
This review examines recent advancements in multimodal bioelectronics, emphasizing machine learning integration to enhance functionality. The application of machine learning methodologies improving biosignal processing, device adaptability, and diagnostic accuracy is discussed to introduce Machine Learning enhanced bioelectronics as a pathway toward ...
Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park   +11 more
wiley   +1 more source

Wave Propagation Approaches for Design Optimization of Asymmetric Double‐Layer Gold Gratings: Logic‐ and Learning‐Based Perspectives

Advanced Theory and Simulations, EarlyView.
This study presents a wave propagation‐based optimization strategy for asymmetric double‐layer Au gratings to improve infrared polarization selectivity. A logic‐based method efficiently determines single‐wavelength structures through analytical modeling, while a learning‐based approach utilizing an explainable neural network enables broadband ...
Ryuna Kang, Jehwan Hwang, Jun Oh Kim, Zahyun Ku, Yunsang Kwak   +4 more
wiley   +1 more source