Results 151 to 160 of about 292,067 (328)

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

Microscopic model for 2D relaxor ferroelectric materials [PDF]

, 2018
Adrian Pacheco-Pozo
openalex   +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

Ferroelectric and Relaxor-Ferroelectric Phases Coexisting Boosts Energy Storage Performance in (Bi0.5Na0.5)TiO3-Based Ceramics [PDF]

Yunting Li, Guangrui Lu, Yan Zhao, Rui Zhao, Jiaqi Zhao, Jigong Hao, Wangfeng Bai, Peng Li, Wei Li   +8 more
openalex   +1 more source

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

Advanced 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, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Microstructures and optical properties of relaxor ferroelectric 0.74Pb (Mg<SUB>1/3</SUB> Nb<SUB>2/3</SUB>)O<SUB>3</SUB>0.26PbTiO<SUB>3</SUB> thin films [PDF]

, 2012
Yue Tian, Yanxue Tang, Dan Zhou, Zhijuan Hu, Fei-Fei WANG, X Chen, Feng Liu, Tao Wang, Dong-zhu Xie, Dazhi Sun, W Shi, Gu-Jin HU, Wei-Jin KONG   +12 more
openalex   +1 more source

Reentrant Phenomenon in Barium Titanate Zirconate-Based Relaxor Ferroelectrics. [PDF]

Small
Kröll E, Mihailova B, Haronin V, Banys J, Lupascu DC, Shvartsman VV.   +5 more
europepmc   +1 more source

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

Advanced 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, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

Relaxor-ferroelectric thin film heterostructure with large imprint for high energy-storage performance at low operating voltage

, 2019
Minh D. Nguyen, Evert Pieter Houwman, Thien Vo Minh, Guus Rijnders   +3 more
openalex   +2 more sources

Perovskite BaTiO₃ doped with pyrochlore bismuth zinc niobate – a new perovskite relaxor ferroelectric BZN-BT [PDF]

, 2019
P. A. Thomas, Jessica Marshall, David Walker   +2 more
openalex   +1 more source