Results 191 to 200 of about 4,429 (294)

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

Discovery of an Ideal HgO12 Icosahedron and Magnetodielectric Coupling in HgCu3Ti4O12

open access: yesAdvanced Electronic Materials, EarlyView.
HgCu3Ti4O12, an A‐site‐ordered quadruple perovskite with a perfectly regular HgO12 coordination, has been synthesized for the first time using high‐pressure methods. The material shows antiferromagnetic ordering at 31 K together with an intrinsic dielectric anomaly, implying possible magnetodielectric coupling.
Haoyu Zheng   +19 more
wiley   +1 more source

Electrically and mechanically driven rotation of polar spirals in a relaxor ferroelectric polymer. [PDF]

open access: yesNat Commun
Guo M   +15 more
europepmc   +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

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

open access: yesAdvanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh   +3 more
wiley   +1 more source

Local atomic order and hierarchical polar nanoregions in a classical relaxor ferroelectric. [PDF]

open access: yesNat Commun, 2019
Eremenko M   +7 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Electric field effect on short-range polar order in a relaxor ferroelectric system. [PDF]

open access: yesPhys Rev B, 2019
Xu Z   +6 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy