Results 151 to 160 of about 17,079 (256)

Self-Powered Sensing System for Electric Vehicle Drive Condition Monitoring and Driving Condition Identification in Intelligent Electric Vehicles. [PDF]

Research (Wash D C)
Tang J, Li H, Hu Y, Shang Y, Li H, Tian H, Liu P, Zhou L, Zhang J, Zhao H.   +9 more
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

Piezoelectric-Triboelectric Hybrid Nanogenerator for Energy Harvesting and Self-Powered Sensing Applications. [PDF]

Small
Hussain SZ, Singh VP, Sadeque MSB, Yavari S, Kalimuldina G, Ordu M.   +5 more
europepmc   +1 more source

Dynamically Actuated Reconfigurable Topographical Surface Enables Active Control of Implant‐Associated Infections

Advanced Functional Materials, EarlyView.
A dynamically actuated reconfigurable topographical surface (DARTS) integrates contact‐mediated bactericidal nanotopography with programmable mechanical actuation to actively disrupt bacterial biofilms. Dynamic surface reconfiguration enhances bacterial killing and suppresses implant‐associated infections in vivo, providing a new strategy for active ...
Mohammad Asadi Tokmedash, Jihun Lee, J. Scott VanEpps, Sungmin Nam, Jouha Min   +4 more
wiley   +1 more source

Innovative Self-Powered Sensing: Potential of Fabrigami and Electrospun Nanofiber-Based Triboelectric Nanogenerator for Joint Biomechanics Monitoring. [PDF]

Small
Gunawardhana KRSD, Fang Z, McGuinness GB, Colorado LAM, Baberwal SS, Wani WA, Rodriguez BJ, O'Connor R, Smullen C, Ward TE, Coyle SM.   +10 more
europepmc   +1 more source

Chitin‐Derived Carbon‐Metal Functional Materials

Advanced Functional Materials, EarlyView.
Functional carbon materials are synthesized from combination of biopolymer (chitin) and iron precursors. The resultant material exhibits superior surface area and adsorptive properties compared to carbon materials synthesized directly from pure chitin.
Herry Fang, Chao Hsuan (Joseph) Sung, Haitao Yu, Ezra Sarmiento, Katarina Kotanchek, Ryan Christopher Lee, Michelle Chan, David Kisailus   +7 more
wiley   +1 more source

Ionic Double-Network Hydrogels for Integrated Electromagnetic Shielding and Self-Powered Sensing in Wearable Electronics. [PDF]

Adv Sci (Weinh)
Wang C, Ding Y, Wu T, Li Z, Hu C, Wang Z, Zhou Y, Lin X, Zhang W, Xu J.   +9 more
europepmc   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Self-powered sensing platform based on triboelectric nanogenerators towards intelligent mining industry. [PDF]

Nat Commun
Liu L, Shang Y, Berbille A, Willatzen M, Wang Y, Li X, Li L, Luo X, Chen J, Yang B, Du C, Wang ZL, Zhu L.   +12 more
europepmc   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source