Results 81 to 90 of about 119 (119)
Wearable PZT Piezoelectric Sensor Device for Accurate Arterial Pressure Pulse Waveform Measurement
This work presents a wearable device for the non‐invasive measurement of radial arterial pressure pulse waveforms, incorporating a highly sensitive flexible Lead Zirconate Titanate (PZT) piezoelectric sensor and an optimized tightness‐free attachment method to maximize the sensitivity.
Minyu Li+3 more
wiley +1 more source
Materials Selection Principles for Designing Electro‐Thermal Neurons
Materials property – performance relations are established for new and old electrical materials leveraged as electro‐thermal oscillators emulating neuron dynamics. Robust, reconfigurable, high frequency, low power characteristics are explicitly tied to highly nonlinear electrical transport, small specific heat, and greater electrical than thermal ...
Fatme Jardali+6 more
wiley +1 more source
Contactless Triboelectric Sensing for Real‐Time 3D Motion Recognition in Human‐Computer Interaction
In the era of artificial intelligence and Internet of Things, there is an increasing demand for intuitive and efficient human‐computer interaction (HCI) technologies. This study presents a contactless triboelectric detector‐based HCI system for classifying 3D motion patterns with 99.33% accuracy.
Qinghao Xu+9 more
wiley +1 more source
An optoelectronic memristor based on an ultrathin periodic heterostructure is proposed. The unique structure enables the integration of multiple functionalities, including those of a photodetector, electric synapse, and optical synapse. This work provides a framework to design ultrathin, multifunctional, and energy‐efficient neuromorphic chips for ...
Lilan Zou+4 more
wiley +1 more source
Advanced Microfluidic‐Based Wearable Electrochemical Sensors for Continuous Biochemical Monitoring
Microfluidic‐based wearable electrochemical sensors are transforming non‐invasive health monitoring through real‐time biochemical analysis of sweat, saliva, and interstitial fluid. This review explores advances in microfluidic design, fabrication, and sensor integration while addressing biofluid variability, material compatibility, and scalability.
Sehyun Park+5 more
wiley +1 more source
Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu+4 more
wiley +1 more source
Spintronic Memtransistor Leaky Integrate and Fire Neuron for Spiking Neural Networks
Spintronic memtransistor neurons based on domain walls enable energy‐efficient, field‐gated, and current‐controlled LIF functionality for neuromorphic computing, as demonstrated. When integrated into spiking neural network architectures, these devices achieve >96% pattern recognition accuracy, demonstrating high performance, scalability, and mem ...
Aijaz H. Lone+7 more
wiley +1 more source
The Value of Device Characterization for the Optimization of Organic Solar Cells
Using the example of organic photovoltaics (OPV), this study examines whether and when additional measurements can be helpful in process optimization. A virtual laboratory based on real solar cells serves as a benchmark function to compare two different approaches for process optimization, namely black‐box optimization (black circle) and model‐based ...
Leonard Christen+4 more
wiley +1 more source
This review highlights advanced methods for detecting and managing over‐humidification in polymer electrolyte fuel cells (PEFCs), emphasizing innovative sensors, simulation techniques, and imaging methods. By addressing the impact of water management on fuel‐cell performance and durability, this study outlines practical and sustainable solutions for ...
Maximilian Käfer+2 more
wiley +1 more source
Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng+10 more
wiley +1 more source