Results 131 to 140 of about 25,501 (266)

High‐Performance and Energy‐Efficient Sub‐5 nm 2D Double‐Gate MOSFETs Based on Silicon Arsenide Monolayers

Advanced Electronic Materials, EarlyView.
Sub‐5 nm double‐gate MOSFETs based on 2D SiAs monolayers are investigated using quantum transport simulations. By engineering source‐drain underlap regions, the devices achieve exceptional on‐currents of up to 1206 µA µm−1, surpassing the ITRS 2028 high‐performance targets.
Dogukan Hazar Ozbey, Engin Durgun
wiley   +1 more source

Interface‐Engineered TiO2 Interlayer for Reliable Hafnia‐Based MFMIS FeFETs

Advanced Electronic Materials, EarlyView.
An ultrathin TiO2 interlayer suppresses oxygen‐vacancy formation in HZO‐based MFMIS FeFETs, enabling enlarged memory windows and reduced leakage current with improved switching characteristics. ABSTRACT We investigated a TiO2‐engineered interfacial strategy to enhance the stability and reliability of hafnia‐based ferroelectric field‐effect transistors (
Changhyeon Han, Been Kwak, Hyun‐Min Kim, Dahye Yu, Daewoong Kwon   +4 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
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, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

How Particle Size Affects Consolidation Behavior, Strain and Properties of Li6PS5Cl Fast Ionic Conductors

Advanced Energy Materials, EarlyView.
The densification process of Li6PS5Cl powders with varying particles size distributions reveals differences in smaller and larger distributions. Higher strain is revealed for the smaller particle size distribution from X‐ray diffraction. Discrete element method simulations uncover that the reason for the higher strain is not the particle size itself ...
Vasiliki Faka, Mohammed Alabdali, Martin A. Lange, Franco M. Zanotto, Can Yildirim, Mikael Dahl Kanedal, Jędrzej Kondek, Matthias Hartmann, Oliver Maus, Dominik Daisenberger, Michael Ryan Hansen, Jozef Keckes, Daniel Rettenwander, Alejandro A. Franco, Wolfgang G. Zeier   +14 more
wiley   +1 more source

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang, Yan Wang, Yanqiu Lyu, Jianfeng Mao, Zaiping Guo   +4 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Manipulating Individual Topological Solitons and Bisolitons in an Electronic System. [PDF]

Adv Mater
Im T, Park JW, Yeom HW.
europepmc   +1 more source

Decision making and soft computing: proceedings of the 11th international FLINS conference [PDF]

, 2014
Dos Santos Machado, Liliane, Kerre, Etienne, Lu, Jie, Marcos de Moraes, Ronei   +3 more
core   +1 more source