Results 181 to 190 of about 1,759,166 (246)

Scaling Up Molecular Electron Spin Qubits Around a Core‐Shell Quantum Dot

Chemistry – A European Journal, EarlyView.
Making assemblies of molecular nanomagnet (MNM) qubits is an essential step toward scalable quantum devices. Here, SH‐functionalized {Cr7Ni} antiferromagnetic rings with ability as MNM qubits were successfully grafted to the surface of fluorescent CdSe/ZnS quantum dots (QD).
Simon G. McAdams, Jesus Ferrando‐Soria, Paul D. McNaughter, Edward A. Lewis, Sarah J. Haigh, David J. Lewis, Richard E. P. Winpenny, Paul O'Brien, Floriana Tuna   +8 more
wiley   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

Bayesian inverse ensemble forecasting for COVID‐19

Canadian Journal of Statistics, EarlyView.
Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Investigating the Cytoskeleton of DRGs Using Cryo‐Electron Microscopy and Deep Learning

Cytoskeleton, EarlyView.
ABSTRACT We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo‐EM). Cryo‐EM reveals the dimensions, proximity, and overall organization of biological specimens in a near‐native state, avoiding artifacts of fixation and ...
M. Neal Waxham, Mihir Relan, Matthew T. Swulius, Andrea K. H. Stavoe   +3 more
wiley   +1 more source

Organising Innovation as a New Commons: Eliciting Perspectives, Practices and Tensions in Multi‐Stakeholder Experimentations

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This paper explores how innovation is organised as a new commons within place‐based experimental settings characterised by institutional plurality. Drawing on scholarship on commons, commoning, and transformative innovation, we approach innovation as a collectively produced resource whose organisation becomes complex in contexts where market ...
Giulia Rossi, Enrico Bellazzecca, Irene Bengo   +2 more
wiley   +1 more source

A Code‐Invariant QSG–VGA Co‐Design Methodology for Compact CMOS Vector‐Sum Phase Shifters

International Journal of Circuit Theory and Applications, EarlyView.
A circuit‐level co‐design methodology for compact vector‐sum phase shifters is presented, combining a code‐invariant common‐gate variable‐gain amplifier (VGA) with a resistorless quadrature signal generator (QSG). By maintaining an almost constant input resistance, explicit resistors are eliminated from the QSG.
Uxua Esteban Eraso, Carlos Sánchez‐Azqueta, Francisco Aznar, Concepción Aldea, Santiago Celma   +4 more
wiley   +1 more source

Towards a Mean‐Field Braginskii Model for Stellarators

Contributions to Plasma Physics, EarlyView.
ABSTRACT Experiments in the stellarator Wendelstein 7‐X indicate that particle drifts have a significant impact on the plasma in the scrape‐off layer. However, drift effects have been absent in the mean‐field transport codes such as EMC3‐Eirene. For this reason, we present the first steps towards a mean‐field model that incorporates drifts. The code is
T. Tork, F. Reimold, D. Bold, B. Shanahan, B. Dudson, A. Stegmeir, P. Manz, The W7‐X Team   +7 more
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source