Results 141 to 150 of about 2,052,774 (301)

One-Dimensional (NH=CINH₃)₃PbI₅ Perovskite for Ultralow Power Consumption Resistive Memory. [PDF]

Research (Wash D C), 2021
Song X, Yin H, Chang Q, Qian Y, Lyu C, Min H, Zong X, Liu C, Fang Y, Cheng Z, Qin T, Huang W, Wang L.   +12 more
europepmc   +1 more source

Tunable defect engineering in TiON thin films by multi-step sputtering processes: from a Schottky diode to resistive switching memory

, 2017
The role of defect engineering is essential in resistive switching memory.
Teng-Yu Su, Yu-Lun Chueh, Tsang-Hsuan Wang, Yu-Chuan Shih, Henry Medina, Chi-Hsin Huang, Jian-Shiou Huang, Hsu-Sheng Tsai   +7 more
core   +1 more source

Light‐Induced Field‐Tunneling Synapses in Solution‐Processed Van Der Waals Heterostructures for Scalable, Retina‐Inspired Optical Sensing

Advanced Functional Materials, EarlyView.
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam, Jihyun Kim, Soobeen Ji, In Soo Kim, Sejin Kim, Eungseon Yeon, Do Kyung Hwang, Iva Plutnarová, Zdeněk Sofer, Sang Min Won, Joohoon Kang   +10 more
wiley   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials
Resistive Random Access Memory (ReRAM) devices offer a promising solution for next‐generation non‐volatile memory and neuromorphic computing systems. Yet, existing compact models fail to capture analog resistive switching behavior of ReRAM devices.
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
doaj   +1 more source

Neural computing in random resistive memory

Recent years have witnessed a growing interest in artificial intelligence and internet of things, both of which demand ever-increasing efficiency and computational power due to the rapid expand of data volume and model size.
王少聪, Wang, Shaocong
core  

Oxide Heterostructure Resistive Memory

, 2016
Resistive switching devices are widely believed as a promising candidate for future memory and logic applications. Here we show that by using multilayer oxide heterostructures the switching characteristics can be systematically controlled, ranging from ...
Yuchao Yang (1949509), ShinHyun Choi (1640740), Wei Lu (3580)   +2 more
core   +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

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

Investigation of switching uniformity in resistive memory via finite element simulation of conductive-filament formation. [PDF]

Sci Rep, 2021
Min K, Jung D, Kwon Y.
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