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Solid-State Oxide-Ion Synaptic Transistor for Neuromorphic Computing.
Adv Mater
December 2024
Catalonia Institute for Energy Research (IREC), Jardins de les Dones de Negre 1, 2, Sant Adriá de Besós, Barcelona, 08930, Spain.
Neuromorphic hardware facilitates rapid and energy-efficient training and operation of neural network models for artificial intelligence. However, existing analog in-memory computing devices, like memristors, continue to face significant challenges that impede their commercialization. These challenges include high variability due to their stochastic nature.
View Article and Find Full Text PDFVolatile and Nonvolatile Programmable Iontronic Memristor with Lithium Imbued TiO for Neuromorphic Computing Applications.
ACS Nano
August 2024
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo N2L 3G1, Ontario, Canada.
We demonstrate a lithium (Li) imbued TiO iontronic device that exhibits synapse-like short-term plasticity behavior without requiring a forming process beforehand or a compliance current during switching. A solid-state electrolyte lithium phosphorus oxynitride (LiPON) behaves as the ion source, and the embedding and releasing of Li ions inside the cathodic like TiO renders volatile conductance responses from the device and offers a natural platform for hardware simulating neuron functionalities. Besides, these devices possess high uniformity and great endurance as no conductive filaments are present.
View Article and Find Full Text PDFSimulated microgravity attenuates myogenesis and contractile function of 3D engineered skeletal muscle tissues.
NPJ Microgravity
February 2024
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
While the effects of microgravity on inducing skeletal muscle atrophy have been extensively studied, the impacts of microgravity on myogenesis and its mechanisms remain unclear. In this study, we developed a microphysiological system of engineered muscle tissue (EMT) fabricated using a collagen / Matrigel composite hydrogel and murine skeletal myoblasts. This 3D EMT model allows non-invasive quantitative assessment of contractile function.
View Article and Find Full Text PDFHighly Reliable Performance of Flexible Synaptic Devices Based on PVP-GO QD Nanocomposites Due to the Formation of Directional Filaments.
ACS Appl Mater Interfaces
January 2024
Department of Electronic Engineering, Hanyang University, Seoul 04763, Republic of Korea.
The metallic conductive filament (CF) model, which serves as an important conduction mechanism for realizing synaptic functions in electronic devices, has gained recognition and is the subject of extensive research. However, the formation of CFs within the active layer is plagued by issues such as uncontrolled and random growth, which severely impacts the stability of the devices. Therefore, controlling the growth of CFs and improving the performance of the devices have become the focus of that research.
View Article and Find Full Text PDFMimicking biological synapses with a-HfSiO-based memristor: implications for artificial intelligence and memory applications.
Nano Converg
July 2023
Division of Electronics and Electrical Engineering, Dongguk University, Seoul, 04620, Republic of Korea.
Memristors, owing to their uncomplicated structure and resemblance to biological synapses, are predicted to see increased usage in the domain of artificial intelligence. Additionally, to augment the capacity for multilayer data storage in high-density memory applications, meticulous regulation of quantized conduction with an extremely low transition energy is required. In this work, an a-HfSiO-based memristor was grown through atomic layer deposition (ALD) and investigated for its electrical and biological properties for use in multilevel switching memory and neuromorphic computing systems.
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