Results 191 to 200 of about 159,072 (298)

Time-Domain Analysis of Rectangular Pulse Response in Capacitive Impedance Sensing Using Capacitively Coupled Contactless Electrodes. [PDF]

Sensors (Basel)
Wanta D, Smolik WT, Ivanenko M, Kryszyn J, Makowiecka O, Domański G, Wróblewski P, Midura M, Orzechowski M.   +8 more
europepmc   +1 more source

2D Vermiculite Nanosheets Encapsulated in Hydrogel Electrolyte for Shuttle‐Free and Dendrite‐Inhibited Zinc‐Iodine Batteries

Advanced Science, EarlyView.
A dual‐network hydrogel was prepared via a one‐pot method, incorporating vermiculite nanosheets as an additive. The negatively charged vermiculite nanosheets not only coordinate with zinc ions to facilitate Zn plating/stripping and suppress Zn dendrite growth, but also adsorb polyiodides to inhibit the shuttle effect, which significantly improves the ...
Yunlong Zhou, Chuanliang Wei, Huanyu Yang, Bin Li, Bo Yang, Jie Ren, Cheng Ye, Maofeng Zhang   +7 more
wiley   +1 more source

Experimental Analysis and Modeling Study of Impedance Changes in Decellularized and Recellularized Peripheral Nerves. [PDF]

Bioengineering (Basel)
Ingrosso M, D'Alvia L, Cosentino M, Nanni G, Del Prete Z, Rizzuto E.   +5 more
europepmc   +1 more source

Hybrid Spring‐Coupled Broadband Energy Harvester Integrated with CuSCN Functionalized Triboelectric Vibration Sensor for Self‐Sustainable Vehicular IoTs

Advanced Science, EarlyView.
A self‐sustainable vehicular vibration and indoor environment monitoring IoT platform is developed which integrates a hybrid spring‐coupled broadband energy harvester with a machine learning‐assisted PAN‐CuSCN nanofiber triboelectric vibration sensor for subtle‐to‐wide‐range vibration detection and road/speed classification.
Trilochan Bhatta, Gagan Bahadur Pradhan, Shital Sharma, MoonSeong Jo, Aklesh Teli, Hochan Chang, Jae Yeong Park   +6 more
wiley   +1 more source

Impact of Multi-Bias on the Performance of 150 nm GaN HEMT for High-Frequency Applications. [PDF]

Micromachines (Basel)
Alim MA, Gaquiere C.
europepmc   +1 more source

Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays

Advanced Electronic Materials, EarlyView.
A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter, Ahmet Samil Demirkol, Ioannis Messaris, Christian Bruchatz, Eter Mgeladze, Stefan Slesazeck, Thomas Mikolajick, Ronald Tetzlaff   +7 more
wiley   +1 more source

A DTMOS-Based Memristor Emulator Circuit for Low-Power Biomedical Signal Conditioning. [PDF]

Micromachines (Basel)
Barraj I.
europepmc   +1 more source

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

Advanced Electronic Materials, EarlyView.
This work electrically characterizes sixteen logic gates built from three‐independent‐gate reconfigurable transistors fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted FDSOI process of GlobalFoundries. Static and time‐resolved measurements confirm correct operation, including a 1‐bit adder and reconfigurable AOI/OAI ...
Juan P. Martinez, Yuxuan He, Giulio Galderisi, Violetta Sessi, Niladri Bhattacharjee, Peter Baars, Kerstin Poenisch, Annekathrin Zeun, Konstantin Li, Fernando Koch, Binit Syamal, Thomas Mikolajick, Jens Trommer   +12 more
wiley   +1 more source

A 0.5-V MI-OTA-based shadow universal filter with integrated passband gain compensation and low-pass control for low-frequency applications. [PDF]

Sci Rep
Kumngern M, Khateb F, Kulej T, Arbet D.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source