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Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

open access: yesAdvanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Unified Phase‐Field Framework for Antiferroelectric, Ferroelectric and Dielectric Phases: Application to HZO Thin Films

open access: yesAdvanced Functional Materials, EarlyView.
HfxZr1−xO2${\rm Hf}_x{\rm Zr}_{1-x}{\rm O}_2$ offers CMOS‐compatible nanoscale ferroelectricity yet suffers from a high Ec${\rm E}_c$ demanding large operating voltages. A unified phase‐field framework spanning AFE/FE/DE phases shows how FE grains soften neighboring AFE grains over λ$\lambda$ ≈$\approx$ 22–37 nm.
P. Pankaj   +4 more
wiley   +1 more source

A Static Security Region Analysis of New Power Systems Based on Improved Stochastic–Batch Gradient Pile Descent

open access: yesApplied Sciences
The uncertainty in the new power system has increased, leading to limitations in traditional stability analysis methods. Therefore, considering the perspective of the three-dimensional static security region (SSR), we propose a novel approach for system ...
Jiahui Wu   +3 more
doaj   +1 more source

Unforgeability in Stochastic Gradient Descent

open access: yesProceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Teodora Baluta   +4 more
openaire   +1 more source

Semi-Cyclic Stochastic Gradient Descent

open access: yesCoRR, 2019
We consider convex SGD updates with a block-cyclic structure, i.e. where each cycle consists of a small number of blocks, each with many samples from a possibly different, block-specific, distribution. This situation arises, e.g., in Federated Learning where the mobile devices available for updates at different times during the day have different ...
Hubert Eichner   +4 more
openaire   +3 more sources

Load Distributing Metamaterials Via Discrete Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry   +6 more
wiley   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo   +11 more
wiley   +1 more source

Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites

open access: yesAdvanced Functional Materials, EarlyView.
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto   +4 more
wiley   +1 more source

Adam Algorithm with Step Adaptation

open access: yesAlgorithms
Adam (Adaptive Moment Estimation) is a well-known algorithm for the first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments.
Vladimir Krutikov   +2 more
doaj   +1 more source

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