Results 271 to 280 of about 4,177,235 (310)

Multimodal In‐Sensor Computing with Dual‐Phase Organic Synapses for Wearable Fitness Monitoring

Advanced Materials, EarlyView.
A dual‐phase organic synaptic sensor detects human respiration and ambient UV light, enabling a wearable neuromorphic system for real‐time exercise monitoring. Abstract With the advancement of wearable and mobile devices, demand for the real‐time, low‐power processing of physiological and environmental signals is growing rapidly.
Yanran Mao, Yongsuk Choi, Chuan Qian, Dong Gue Roe, Seonkwon Kim, Yuehong Liu, Diandian Chen, Dongsheng Tang, Jia Sun, Jeong Ho Cho   +9 more
wiley   +1 more source

Design and implementation of a low-power position monitoring and control system for on-orbit focusing. [PDF]

PLoS One
Jiang L, Guo K, Liu X, Zhang Z.
europepmc   +1 more source

Neuromorphic Visual Receptive Field Hardware with Vertically Integrated Indium‐Gallium‐Zinc‐Oxide Optoelectronic Memristors over Silicon Neuron Transistors

Advanced Materials, EarlyView.
This work proposes neuromorphic visual receptive field hardware with vertically integrated amorphous In‐Ga‐Zn‐O optoelectronic memristors and Si neuron transistors for retina‐inspired visual processing. The visual receptive field array, comprising ON‐ and OFF‐type cells, facilitates edge detection, thereby enhancing perception in complex images, such ...
Hyun Wook Kim, Jin Hong Kim, Dong Hoon Shin, Min Chung Jung, Tae Won Park, Hyung Jun Park, Joon‐Kyu Han, Cheol Seong Hwang   +7 more
wiley   +1 more source

The effect of electronic prescription systems on pharmacy performance through evaluation of existing infrastructure in Kerman Iran. [PDF]

Sci Rep
Karimi S, Jahani Y, Ahmadian L.
europepmc   +1 more source

Review of Multifunctional Neural Probe

Advanced Materials Interfaces, EarlyView.
Modern multifunctional neural probes for brain‐machine interfaces extend beyond basic electrical functions to incorporate chemical and optical modalities. This review explores recent advances in multifunctional probes developed for neural signal acquisition and stimulation, highlighting how these innovations enhance the precision of brain activity ...
Ziqi Jia, Yong Kyu Yoon
wiley   +1 more source

Ground-State Energy Estimation on Current Quantum Hardware through the Variational Quantum Eigensolver: A Practical Study. [PDF]

J Chem Theory Comput
Belaloui NE, Tounsi A, Khamadja AR, Louamri MM, Benslama A, Bernal Neira DE, Rouabah MT.   +6 more
europepmc   +1 more source

Halide Perovskite Quantum Dots Form a Scalable Unified Platform for Resistive Memories, Crossbar Networks, Neuromorphic Synapses, and Field Effect Transistors

Advanced Materials Interfaces, EarlyView.
Halide perovskite quantum dots, with their flexible ABX3 lattice enabling collaborative electronic and ionic transport, offer scalable, low‐cost routes to resistive memories, opto‐electronic control, neuromorphic devices, and field‐effect transistors.
Hyojung Kim
wiley   +1 more source

Passable: An Intelligent Traffic Light System with Integrated Incident Detection and Vehicle Alerting. [PDF]

Sensors (Basel)
Alzamzami O, Alsaggaf Z, AlMalki R, Alghamdi R, Babour A, Al Khuzayem L.   +5 more
europepmc   +1 more source

RAMUS: Printable, Mechanically‐Tunable and Biodegradable Cellulose‐Mediated Composites

Advanced Materials Interfaces, EarlyView.
Ramus, a Latin term meaning “branch,” develops large‐scale, ambient conditions additively manufactured, and biodegradable cellulose‐based biomaterial composites able to mediate their structural capacity from micro to macroscale. Abstract Ramus develops large‐scale, ambient conditions additively manufactured, and biodegradable cellulose‐based ...
Laia Mogas‐Soldevila, Shivani Chawla, Behzad Modanloo, Shravan Pradeep, Abigail Weinstein, Victor Li   +5 more
wiley   +1 more source

Deep Learning Analysis of Solid‐Electrolyte Interphase Microstructures in Lithium‐Ion Batteries

Advanced Materials Interfaces, EarlyView.
A transformer‐based deep learning model is developed for segmenting and analyzing high‐resolution TEM images of the solid‐electrolyte interphase (SEI) in lithium‐ion batteries. The model is trained on DFT‐based simulated images and predicts SEI grain and grain boundaries, revealing key microstructural features that govern ion transport and degradation.
Ishraque Zaman Borshon, Vahid Jabbari, Todd A. Kingston, Reza Shahbazian‐Yassar, Vitaliy Yurkiv   +4 more
wiley   +1 more source