Results 71 to 80 of about 3,700 (228)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
This study clarifies the influence of single-layer (TiN, HfN, W) and bi-layer (HfN/TiN, W/TiN) bottom electrodes (BEs) on the ferroelectric performance and reliability of the 10-nm-thick Hf0.5Zr0.5O2 (HZO) thin films.
Han Sol Park +9 more
doaj +1 more source
Ferroionic Electrostatic Landscapes Enabling Wireless Energy Harvesting, Storage, and Sensing
By integrating experiments and electrostatic field simulations, we show that long‐range wireless coupling in Li‐based ferroionics devices emerges from the cooperative interaction between ionic migration and electronic polarization. This coupling sustains self‐polarized electrostatic fields across centimeter‐scale air gaps without external bias or ...
M. Helena Braga +7 more
wiley +1 more source
Herein, we describe a comparative study of the ferroelectric properties of epitaxial Hf _0.5 Zr _0.5 O _2 films grown on La _0.67 Sr _0.33 MnO _3 /SrTiO _3 (100) and La _0.67 Sr _0.33 MnO _3 /DyScO _3 (110) across a temperature range of 32–298 K for the ...
J W Adkins +4 more
doaj +1 more source
This study proposes a novel approach to achieving highly reliable, low-voltage polarization switching of ferroelectric Hf0.5Zr0.5O2 (HZO) thin films using polymorph- and orientation-controlled W electrodes ((111)-textured α-W and (200)-textured β-W) by ...
Kun Yang +9 more
doaj +1 more source
Recently, hafnium oxide (HfO2)-based ferroelectric materials have achieved phenomenal success in next-generation nonvolatile memory applications.
Ming-Yang Cha +7 more
doaj +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
Silicon doped hafnium oxide (HSO) and hafnium zirconium oxide (HZO) based FeFET
Art.222903, 6 S.The recent discovery of ferroelectricity in thin film HfO2 materials renewed the interest in ferroelectric FET (FeFET) as an emerging nonvolatile memory providing a potential high speed and low power Flash alternative.
Büttner, T. +16 more
core +1 more source
Polarization current-based reservoir computing utilizing an anti-ferroelectric-like HfZrO2 capacitor
We have experimentally demonstrated the physical reservoir computing by employing the polarization switching current dynamics of an Hf1−xZrxO2 (HZO)-based metal/ferroelectric/metal capacitor with Zr content x = 0, 0.5, and 0.75.
Shin-Yi Min +5 more
doaj +1 more source
Selector integration enables scalable memristor crossbar arrays by suppressing sneak‐path currents and improving array selectivity. This review summarizes integration strategies, device requirements, challenges, and opportunities for high‐density memory, compute‐in‐memory, and neuromorphic computing systems.
Zohreh Hajiabadi +3 more
wiley +1 more source

