Results 51 to 60 of about 38,822 (259)

Time‐Resolved Magnetization Switching Dynamics Driven by Orbital Torques

Advanced Functional Materials, EarlyView.
Du et al. reveal nanosecond magnetization switching driven by orbital currents using time‐resolved Hall detection. The measurements separate domain nucleation from domain wall propagation and show that Joule heating strongly assists switching by lowering energy barriers.
Ao Du, Shilei Ding, Min‐Gu Kang, Marco Hoffmann, Pietro Gambardella   +4 more
wiley   +1 more source

Extracting Information from Interval Data Using Symbolic Principal Component Analysis

Austrian Journal of Statistics, 2017
We introduce generic definitions of symbolic variance and covariance for random interval-valued variables, that lead to a unified and insightful interpretation of four known symbolic principal component estimation methods: CPCA, VPCA, CIPCA, and ...
M. R. Oliveira, M. Vilela, A. Pacheco, Rui Valadas, Paulo Salvador   +4 more
doaj   +1 more source

Analysis of Count Time Series: A Bayesian GARMA(p, q) Approach

Austrian Journal of Statistics, 2023
Extensions of the Autoregressive Moving Average, ARMA(p, q), class for modeling non-Gaussian time series have been proposed in the literature in recent years, being applied in phenomena such as counts and rates.
Luiz Otávio de Oliveira Pala, Marcela de M. Carvalho, Thelma Sáfadi   +2 more
doaj   +1 more source

Plasmonic Enhancement of Fluorescence and Protein Dynamics in Living Mammalian Cells

Advanced Materials, EarlyView.
This study demonstrates plasmonic enhancement of the function of fluorescent voltage sensing proteins (genetically encoded voltage indicators, (GEVIs), QuasAr6) in live mammalian cells. Coupling to plasmonic nanoparticles does not just increase fluorescence, but influences the protein photocycle, creating a hybrid sensor with its response speed to ...
Marco Locarno, Qiangrui Dong, Marco Post, Xin Meng, Cristiano Glessi, Nynke Marije Hettema, Nidas Brandsma, Sebbe Blokhuizen, Alejandro Castañeda Garcia, Srividya Ganapathy, Thieme Schmidt, Lars van Roemburg, Bing Xu, Chun‐Ting Cho, Liedewij Laan, Miao‐Ping Chien, Daan Brinks   +16 more
wiley   +1 more source

Industrial Statistics Revisited: From Footnotes to Meta-Information Management

Austrian Journal of Statistics, 2016
UNIDO maintains a long tradition in the compilation of international statistics on industrial production and, particularly, has developed a suite of tools and techniques for improving third-party data, mainly supplied directly or indirectly by National ...
Karl A. Froeschl, Tetsuo Yamada, Roman Kudrna   +2 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Special Book Review

Austrian Journal of Statistics, 2016
Ruth MEIER und Utz-Peter REICH, Von Gütern und Geld, Kreisläufen und Konten: Eine Einführung in die Volkswirtschaftliche Gesamtrechnung der Schweiz. Verlag Paul Haupt, Bern-Stuttgart-Wien, 2001.
Alfred Franz
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

On the Future of Data Analysis

Austrian Journal of Statistics, 2016
This contribution is based on a discussion on the future of data analysis which took place on the last day of the symposium IDA 2000. By different discussants the main problems of current data analysis as well as future developments were discussed ...
Reinhard Viertl
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source