Results 131 to 140 of about 68,095 (317)

A Wearable, Dual Closed‐loop Insulin Delivery System for Precision Diabetes Management

Advanced Materials, EarlyView.
A wearable dual closed‐loop drug delivery system for diabetes management is presented, featuring an adaptive, on‐body trained edge AI algorithm for precise insulin delivery, which enhances therapeutic accuracy from 92.10% to 98.82%. Abstract Effective blood glucose management is an increasing demand worldwide.
Xuecheng He, Wei Huang, Wensheng Lin, Binbin Cui, Xinyu Tian, Jing Bai, Dingyao Liu, Ivo Pang, Hao Huang, Shixian Lin, Jixiang Zhu, Jinqiang Wang, Shiming Zhang   +12 more
wiley   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source

Ferroelectrics Hybrids: Harnessing Multifunctionality of 2D Semiconductors in the Post‐Moore Era

Advanced Materials, EarlyView.
In this Review, the state of art of ferroelectric hybrid systems—combining ferroelectrics, 2D semiconductors, and molecular switches is presented—as next‐generation platforms for high‐density, multifunctional electronics. By discussing 2D FeFET applications, nanoscale material downscaling, M3D integration, and emerging ferroelectrics, it highlights ...
Haixin Qiu, Xiaoshi Qian, Dahong Qian, Paolo Samorì   +3 more
wiley   +1 more source

Role of Awareness and Universal Context in a Spiking Conscious Neural Network (SCNN): A New Perspective and Future Directions [PDF]

, 2018
Ahsan Adeel
openalex   +1 more source

Deep Learning of Explainable EEG Patterns as Dynamic Spatiotemporal Clusters and Rules in a Brain-Inspired Spiking Neural Network [PDF]

, 2021
Maryam Doborjeh, Zohreh Doborjeh, Nikola Kasabov, Molood Barati, Grace Wang   +4 more
openalex   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Nonmulberry Silk Fibroin Doping Boosts Charge Transfer and Charge Injection in Aligned Polypyrrole‐Silk Scaffolds for Low‐Voltage Neurostimulation

Advanced Materials Interfaces, EarlyView.
Conductive silk‐polypyrrole scaffolds couple redox stability with cell‐affinitive peptides present innately in an endogenous silk fibroin, enabling optimized electrical stimulation to drive neurite outgrowth. Findings establish electrochemical‐biological link for biomaterial design rules for smart nerve guidance conduits that can provide low voltage ...
Rajiv Borah, Joseph Christakiran Moses, Jnanendra Upadhyay, Jitu Mani Das, Michael G. Monaghan, Biman B. Mandal   +5 more
wiley   +1 more source

Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics

Nature Communications
It is widely believed the brain-inspired spiking neural networks have the capability of processing temporal information owing to their dynamic attributes. However, how to understand what kind of mechanisms contributing to the learning ability and exploit
Hanle Zheng, Zhong Zheng, Rui Hu, Bo Xiao, Yujie Wu, Fangwen Yu, Xue Liu, Guoqi Li, Lei Deng   +8 more
doaj   +1 more source

Advanced Ceramics in Aerospace and Defense: The Interrelationship between Traditional and Additive Manufacturing Approaches

Advanced Materials Technologies, EarlyView.
Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk, Senentxu Lanceros‐Mendez, Abílio Pereira Silva   +2 more
wiley   +1 more source