Results 91 to 100 of about 3,719,507 (369)

Multilayer Soft Photonic Arrays Inspired by Cephalopod Skin for High‐Density, Independent, and Multimodal Actuation

Advanced Functional Materials, EarlyView.
A vertically stacked, DEA‐driven photonic array inspired by cephalopod skin, featuring highly crystalline colloidal crystal gels with vivid color, low FWHM and scalability is presented. The multilayer design removes lateral pixel interference, achieving near‐100% fill factor with fully independent RGB actuation.
Maga Kim, Imbo Kong, Do Yoon Kim, Jaeyoung Choi, Seong‐Yu Choi, Yun Hyeok Lee, Sihwan Lee, Byung Ik Park, Gimin Sung, In‐Suk Choi, Wook Sung Kim, Jeong‐Yun Sun   +11 more
wiley   +1 more source

A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture

Future Internet
In the current field of disease risk prediction research, there are many methods of using servers for centralized computing to train and infer prediction models.
Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan, Jie Wu   +4 more
doaj   +1 more source

Diffractive optical computing in free space

Nature Communications
Structured optical materials create new computing paradigms using photons, with transformative impact on various fields, including machine learning, computer vision, imaging, telecommunications, and sensing.
J. Hu, Deniz Mengu, D. Tzarouchis, Brian Edwards, N. Engheta, Aydogan Ozcan   +5 more
semanticscholar   +1 more source

Selection Strategies for Flexible Pressure Sensor Electrode Materials Toward Ultrafast Response

Advanced Functional Materials, EarlyView.
This study reveals, for the first time, how the electrode–organic interface governs the temporal performance of flexible pressure sensors. By pairing high‐conductivity CVD PEDOT with commonly used metal electrodes, the authors demonstrate that interfacial energy alignment dictates microsecond‐scale response, providing a straightforward design strategy ...
Jinwook Baek, Yuxuan Zhang, Hyeondong Yang, Minyoung Kim, Pavlos P. Vlachos, Jeongok Choe, Bo‐Gyu Bok, Kejie Zhao, Han‐Wook Song, Min‐Seok Kim, Martin Byung‐Guk Jun, Sunghwan Lee   +11 more
wiley   +1 more source

Electrochemically Driven Dissipative Growth of Affinity Hydrogels for Bioresponsive Interfaces

Advanced Functional Materials, EarlyView.
Voltage pulses drive the growth and reinforcement of hydrogel films under dissipative conditions. This biocompatible strategy enables efficient integration of affinity ligands into the hydrogel matrix, enhancing the selective capture of growth factors and allowing precise temporal control over their release, making them well‐suited as adaptive ...
Roberto Baretta, Marco Frasconi
wiley   +1 more source

Photoconductivity‐Driven Quantum Efficiency Gain in Inorganic Ruddlesden‐Popper Layered Cs2PbBr2I2 Perovskite Photodetector for Visible Light Detection

Advanced Functional Materials, EarlyView.
Rational halogen mixing strategy was employed to shift the bandgap of Cs2PbBr2I2 from ultraviolet to visible region, enabling first realization of a visible‐light photodetector with this 2D layered Ruddlesden‐Popper perovskite material. Under illumination, light‐induced internal field forms and drives trap‐mediated persistent photoconductivity ...
Md Fahim Al Fattah, Asif Abdullah Khan, Saikiran Khamgaonkar, Majid Haji Bagheri, Danyah Khan, Md Rasidul Islam, Mahmoud Almadoun, Aixi Pan, Alexander Li, Marwa Abd‐Ellah, Vivek Maheshwari, Dayan Ban   +11 more
wiley   +1 more source

Ionic‐Electronic Hydrogel‐Liquid Metal Composite Bilayer with Tissue‐Adaptive and Adhesive Properties for Closed‐Loop Neuroprosthetic System

Advanced Functional Materials, EarlyView.
A hydrogel–liquid metal composite peripheral nerve interface (HLB‐PNI) combines electrically durable electrodes and tissue‐adhesive hydrogel for tissue‐adaptive implantation. In nerve‐injured rats, it enables the diagnosis of sensory‐motor connectivity via stimulation and neural signal recording.
Yewon Kim, Kyoungryong Kim, Jaehyon Kim, Heewon Choi, Mikyung Shin, Donghee Son   +5 more
wiley   +1 more source

Joint Optimization of Data Offloading and Resource Allocation With Renewable Energy Aware for IoT Devices: A Deep Reinforcement Learning Approach

IEEE Access, 2019
A large number of connected sensors and devices in Internet of Things (IoT) can generate large amounts of computing data and increase massive energy consumption.
Hongchang Ke, Jian Wang, Hui Wang, Yuming Ge   +3 more
doaj   +1 more source

Bandwidth Selection for Multivariate Kernel Density Estimation Using MCMC [PDF]

We provide Markov chain Monte Carlo (MCMC) algorithms for computing the bandwidth matrix for multivariate kernel density estimation. Our approach is based on treating the elements of the bandwidth matrix as parameters to be estimated, which we do by ...
Maxwell L. King, Rob J. Hyndman, Xibin Zhang   +2 more
core  

Efficient checkpointing over local area networks [PDF]

, 1994
Parallel and distributed computing on clusters of workstations is becoming very popular as it provides a cost effective way for high performance computing.
Bruck, Jehoshua, Ziv, Avi
core