Results 221 to 230 of about 84,713 (260)

Programming pulse width dependent charge retention characteristics of low-power synaptic thin film transistors. [PDF]

Sci Rep
Cha D, Pi J, Lee S.
europepmc   +1 more source

Reversible and Controllable Transition Between Filamentary and Interfacial Resistive Switching in HfO2‐Based Memristors

Advanced Electronic Materials, EarlyView.
5 nm HfO2 memristors exhibit a fully reversible, voltage‐controlled transition between filamentary and interfacial switching within the same device. At high voltages, a filament forms and dominates the conduction, whereas at lower voltages the device reversibly returns to interfacial mode without defect accumulation, implying a new reversible ...
Cuo Wu, Hao Shen, Richard Schroedter, Chong Peng, Hampus Hoffman, Stefan Slesazeck, Ronald Tetzlaff, Thomas Mikolajick, Benjamin Max   +8 more
wiley   +1 more source

A Lithium Fluoride Interfacial Layer for Low-Voltage and Reliable Perovskite Memristors. [PDF]

ACS Appl Electron Mater
Pendyala NK, Sanjuán I, Chen QG, Lee WY, Chueh CC, Guerrero A.   +5 more
europepmc   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

Advanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal, Nagarajan Raghavan, Ramesh Mohan Thamankar   +2 more
wiley   +1 more source

Artificial Synapse Based on Black Phosphorus/SnS₂ Heterostructure Transistor for Neuromorphic Computing with High Accuracy. [PDF]

ACS Omega
Lv W, Zeng Y, Wang X, Lv W, Wu X, Tian H, Zhang B, Huang L, Zeng Z.   +8 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

A mechano-gated ionic diode enables low-power synaptic tactile spiking. [PDF]

Sci Adv
Kim YM, Choi H, Kim JH, Kwon JH, Boahen EK, Ha NK, Kong Z, Moon HC, Kim DH.   +8 more
europepmc   +1 more source

Behavioural and physical model of synaptic devices

Report on behavioural and physical model of synaptic devices.
openaire   +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

Advancing Flexible Optoelectronic Synapses and Neurons with MXene-Integrated Polymeric Platforms. [PDF]

Nanomaterials (Basel)
Xu H, Zeng X, Qadir A.
europepmc   +1 more source