Results 111 to 120 of about 14,142 (285)
Perspective: Uniform switching of artificial synapses for large-scale neuromorphic arrays
APL Materials, 2018 Resistive random-access memories are promising analog synaptic devices for efficient bio-inspired neuromorphic computing arrays. Here we first describe working principles for phase-change random-access memory, oxide random-access memory, and conductive ...
Scott H. Tan +5 more
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A New Era in Computing: A Review of Neuromorphic Computing Chip Architecture and Applications
ChipsNeuromorphic computing, an interdisciplinary field combining neuroscience and computer science, aims to create efficient, bio-inspired systems. Different from von Neumann architectures, neuromorphic systems integrate memory and processing units to enable
Guang Chen +5 more
doaj +1 more source
Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking
Advanced Materials, EarlyView.Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee +23 more
wiley +1 more source
Soft Hardware, Flowing Software: Reconfigurable Microfluidics for Adaptable Chemical Computation
Advanced Materials, EarlyView.A reconfigurable microfluidic platform based on soft, photo‐printable, and chemically erasable hydrogel structures printed and erased in situ is used to control flow routing, mixing, chemical patterning, and even chemical computing. Using hardware to control chemical computations decouples logic function from molecular composition, demonstrated via ...
Piet J. M. Swinkels +4 more
wiley +1 more source
Introduction to Neuromorphic Computing
, 2020 Neuromorphic computing is an emerging field that has the potential to drastically influence every human’s life within the next decades. Neuromorphic computing explores the computing process of the brain and attempts to replicate it onto modern ...
Khan, Sadid R
core
Advanced Materials, EarlyView.This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang +10 more
wiley +1 more source
Oxide-based RRAM materials for neuromorphic computing
, 2018 In this review, a comprehensive survey of different oxide-based resistive random-access memories (RRAMs) for neuromorphic computing is provided. We begin with the history of RRAM development, physical mechanism of conduction, fundamental of neuromorphic ...
Dananjaya, Putu Andhita +11 more
core +1 more source
Advanced Materials Interfaces, EarlyView.Simplified quantum sensing technique for the detection of short electrical signals occurring in neuronal signaling or bioinspired technologies. We demonstrate a single frequency continuous‐wave optically detected magnetic resonance (CW‐ODMR) approach to sense signals that can be as short as 0.2 ms.
João Paulo Silva +4 more
wiley +1 more source
Research on neuromorphic vision sensor and its applications
物联网学报, 2019 Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,
Yongsheng SANG +4 more
doaj +2 more sources