Results 181 to 190 of about 9,222 (286)

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

open access: yesAdvanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi   +7 more
wiley   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

Ternary Content Addressable Memory with In–Ga–Zn–O Thin‐Film Transistor Technology for Enhanced Uniformity and Endurance in Efficient Distance‐Based Algorithm Acceleration

open access: yesAdvanced Intelligent Systems, EarlyView.
Ternary content addressable memory based on InGaZnO transistors is fabricated and its performance is evaluated through simulations for various distance‐based computing applications. Due to its high areal density, enhanced switching characteristics, and uniformity compared to other data similarity‐computing hardware candidates, the proposed memory is
Hyeong Jun Seo   +5 more
wiley   +1 more source

Phase transformation in lead titanate based relaxor ferroelectrics with ultra-high strain. [PDF]

open access: yesNat Commun
Zhang H   +8 more
europepmc   +1 more source

Optoelectronic Neuromorphic System Based on Amorphous Indium–Gallium–Zinc–Oxide Thin‐Film Transistor for Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
An amorphous indium–gallium–zinc–oxide (IGZO)‐based optoelectronic neuromorphic system integrating light guides is introduced. The IGZO‐based optoelectronic synaptic transistor demonstrates high retention through a negative gate bias and emulates synaptic plasticity.
Yumin Yun   +6 more
wiley   +1 more source

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