Results 221 to 230 of about 74,167 (345)

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Design characterization and implementation of an integrated CMOS driver circuit for GaN components

, 2016
Van-Sang Nguyen
openalex   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
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, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Large-scale complementary carbon nanotube integrated circuits for harsh radiation environments. [PDF]

Sci Adv
Zhang K, Zhou D, Gao N, Zhang J, Tong Z, Zhao J, Liu P, Wang X, Lin X, Xu H, Peng LM, Zhao W.   +11 more
europepmc   +1 more source

Hot-carrier reliability assessment in CMOS digital integrated circuits

, 1998
Wenjie Jiang
openalex   +1 more source

Ultra-thin nanograin polysilicon devices for hybrid CMOS-NANO integrated circuits

, 2007
Serge Ecoffey
openalex   +2 more sources

Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks

Advanced Intelligent Discovery, EarlyView.
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç, Filip Sabo, Aida Todri‐Sanial   +2 more
wiley   +1 more source

Hafnium-Based Ferroelectric Post-Moore Electronics: Device Physics, Integration Architectures, and Neuromorphic System Implementation. [PDF]

Nanomicro Lett
Chen X, Wang Z, Meng J, Wang T.
europepmc   +1 more source

Real‐Time Multicolor Fluorescence Microscopy via Cross‐Channel Acquisition and Deep‐Learning‐Based Inference

Advanced Intelligent Discovery, EarlyView.
Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto, Yuxin Jin, Nicholas Roy, Sarthak Misra   +3 more
wiley   +1 more source

A Monolithic CMOS-MEMS SoC with 1.8 mm/s and 2 mK Resolution for Flow and Temperature Sensing via a Microcantilever Array. [PDF]

Microsyst Nanoeng
Wang F, Ouyang X, Hong L, Song X, Xu W.
europepmc   +1 more source