Results 131 to 140 of about 1,336,530 (337)

External Memory Algorithms [PDF]

, 1999
James Abello, Jeffrey Scott Vitter
openalex   +1 more source

Stable Radical Polymers as New Electroactive Materials: Synthesis, Properties, and Emerging Applications

Advanced Functional Materials, EarlyView.
This review covers the recent advances in the synthesis and properties of stable radical polymers (SRPs) and presents their applications in electronics, magnetics, optoelectronics, and biomedicines. The review concludes with a discussion of the challenges in radical chemistry and functionalization, while shedding light on the groundbreaking potential ...
Yufeng Xiong, Yingjiang Li, Xinfang Cui, Shiwei Li, Xiangdong Peng, Yanyun Ju, Tong Zhou, Rui Feng, Yang Zhang, Zehong Wang, Qing Wang, Lijie Dong   +11 more
wiley   +1 more source

ARCHITECTURAL AND STRUCTURAL AND FUNCTIONAL FEATURES OF THE ORGANIZATION OF PARALLEL-HIERARCHICAL MEMORY

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Parallel hierarchical memory (PI memory) is a new type of memory that is designed to improve the performance of parallel computing systems. PI memory is composed of two blocks: a mask RAM and a tail element RAM.
Leonid Timchenko, Natalia Kokriatska, Volodymyr Tverdomed, Iryna Yepifanova, Yurii Didenko, Dmytro Zhuk, Maksym Kozyr, Iryna Shakhina   +7 more
doaj   +1 more source

An experimental study of priority queues in external memory [PDF]

, 2000
Klaus Brengel, Andreas Crauser, Paolo Ferragina, Ulrich Meyer   +3 more
openalex   +1 more source

Electrically Induced Negative Differential Resistance States Mediated by Oxygen Octahedra Coupling in Manganites for Neuronal Dynamics

Advanced Functional Materials, EarlyView.
The negative differential resistance is exploited, using a La0.67Sr0.33MnO3 thin film network to demonstrate various neuronal functionalities of the human brain, such as leaky‐integrate‐fire and oscillatory patterns. Transmission electron microscope studies show local modification in oxygen octahedra in the network leads to co‐existing phases ...
Azminul Jaman, Lorenzo Fratino, Majid Ahmadi, Rodolfo Rocco, Bart J. Kooi, Marcelo Rozenberg, Tamalika Banerjee   +6 more
wiley   +1 more source

Memory and external reference points among Fijians in (urban) Fiji [PDF]

, 2001
Solrun Williksen‐Bakker
openalex   +1 more source

Advances in Radiative Heat Transfer: Bridging Far‐Field Fundamentals and Emerging Near‐Field Innovations

Advanced Functional Materials, EarlyView.
This review synthesizes the evolution of radiative heat transfer, emphasizing the transition from far‐field to near‐field regimes. Traditional frameworks, such as Planck's law, are revisited alongside modern innovations like fluctuational electrodynamics. Applications span nanoscale thermal management, energy harvesting, and thermophotovoltaic systems.
Ambali Alade Odebowale, Andergachew Berhe, Rasheed T. Ogundare, Salah Abdo, Amer Abdulghani, Haroldo T. Hattori, Andrey E. Miroshnichenko   +6 more
wiley   +1 more source

Shape‐Reconfigurable Crack‐Based Strain Sensor with Ultrahigh and Tunable Sensitivity

Advanced Functional Materials, EarlyView.
A highly sensitive crack‐based sensor with tunable strain detection capabilities is demonstrated through controlled nanocrack formation in a line‐patterned shape memory polymer substrate. The sensor design integrates thermoplastic polyurethane and poly(lactic acid), enabling thermo‐responsive reconfiguration of crack geometry.
Seungjae Lee, Youngoh Lee, Cheolhong Park, Yun Goo Ro, Min Sub Kwak, Geonyoung Jeong, Junseo Park, Hyejin Lee, Pan Kyeom Kim, Sung‐Il Chung, Hyunhyub Ko   +10 more
wiley   +1 more source

Ternary Resistance Switching Memory Behavior Based on Graphene Oxide Embedded in a Polystyrene Polymer Layer

Scientific Reports, 2017
Nonvolatile ternary memory devices were fabricated using the composite of polystyrene (PS) and graphene oxide(GO) as active layers, which have an reliable intermediate state.
Yanmei Sun, Dianzhong Wen, Xuduo Bai, Junguo Lu, Chunpeng Ai   +4 more
doaj   +1 more source

Learning What to Remember: Long-term Episodic Memory Networks for Learning from Streaming Data [PDF]

arXiv, 2018
Current generation of memory-augmented neural networks has limited scalability as they cannot efficiently process data that are too large to fit in the external memory storage. One example of this is lifelong learning scenario where the model receives unlimited length of data stream as an input which contains vast majority of uninformative entries.
arxiv