Results 51 to 60 of about 434 (175)
Organic neuromorphic optoelectronic sensing materials, intelligent devices, and bionic systems
InfoMat, EarlyView.Due to the excellent performance and biocompatibility, organic neuromorphic photoelectric sensing technology is regarded as a highly promising research field. In this review, Liu et al. summarize the recent advances in related materials, devices, and system integration.
Yu‐ang Liu +4 more
wiley +1 more source
Advanced Intelligent Systems, 2023 Reservoir computing is a highly efficient machine learning framework for processing temporal data by extracting input features and mapping them into higher dimensional spaces.
Md Razuan Hossain +4 more
doaj +1 more source
Advanced Intelligent Discovery, Volume 2, Issue 5, October 2026.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
High-Frequency Tunable Resistorless Memcapacitor Emulator and Application
, 2022 In this paper, a new design has been proposed for the realization of high-frequency memcapacitor emulators built with three OTAs. This paper also proposes the application of memcapacitor as an amplitude modulator.
Kumar, Pratik, Paul, Sajal K.
core +1 more source
Single Active Block-Based Emulators for Electronically Controllable Floating Meminductors and Memcapacitors [PDF]
Radioengineering, 2023 This paper introduces two novel emulator circuits that employ a single active block. The first circuit utilizes a Voltage Differencing Transconductance Amplifier (VDTA) to emulate the behavior of a floating/grounded incremental/decremental flux ...
M. Tatovic, P. B. Petrovic
doaj
Memcapacitors and Meminductors are Overunity Systems!
CoRR, 2020 It is rigorously proved that ideal memcapacitors and meminductors are not passive or lossless devices, nor are they satisfying the weaker notion of cyclo-passivity, which arises when dropping the requirement of non-negativity of the storage function. Equivalently, this implies that there exist excitation profiles that allow to extract more energy from ...
Dimitri Jeltsema, Arjan van der Schaft
openaire +2 more sources
Advanced Functional Materials, Volume 36, Issue 37, 7 May 2026.Ferroelectric memcapacitors enable non‐volatile, voltage‐programmable capacitance tuning for adaptive electronics. A TiN/HfZrO/TiN device stack demonstrates more than eight stable capacitance states within a 24 pF memory window in compact 60 ×$\times$ 60 μm2$\umu{\rm m}^{2}$ devices at low operating voltages.
Deepika Yadav +6 more
wiley +1 more source
Energy-efficient memcapacitor devices for neuromorphic computing [PDF]
, 2021 Data-intensive computing operations, such as training neural networks, are essential for applications in artificial intelligence but are energy intensive.
Parkin, S. ; https://orcid.org/ +2 more
core +1 more source
Rewiring Droplet Interface Synapses
Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.Droplet interface synapses are used to create a neuromorphic network. Voltage pulses draw the droplets into contact and enable rewiring of the network through electrowetting. Results show that the heterogeneous droplet compositions and pore‐forming molecules may be used to tune the neuromorphic properties of the device using trapped charge as a form of
Sarita Shrestha, Eric Freeman
wiley +1 more source
Analysis of a Memcapacitor‐Based Online Learning Neural Network Accelerator Framework
Advanced Intelligent SystemsData‐intensive computing tasks, such as training neural networks, are fundamental to artificial intelligence applications but often demand substantial energy resources.
Ankur Singh, Dowon Kim, Byung‐Geun Lee
doaj +1 more source