Results 91 to 100 of about 5,117 (217)

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

Is there chaotic synchronization in space extend systems

, 1997
Based on coupled map lattice (CML), the chaotic synchronous pattern in space extend systems is discussed. Making use of the criterion for the existence and the conditions of stability, we find an important difference between chaotic and nonchaotic ...
刘曾荣, Wei Z, Xin H
core  

Control System for the Navigation of the Agricultural Robots: A Review

Journal of Field Robotics, EarlyView.
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía, Hugo Rafacho Fernandes, Daniel Albiero, Angel Pontin Garcia   +3 more
wiley   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Beyond Growth: Governance and Education as Drivers of Environmental Health in an EKC‐Based PLS‐SEM Framework

Sustainable Development, EarlyView.
ABSTRACT Isolating environmental issues from their broader social and political context limits understanding of their true drivers. In this sense, factors such as governance and education can be powerful determinants of environmental performance. This research examines the factors influencing the Environmental Health component of the Environmental ...
Zübeyde Çiçek, Özer Arabacı
wiley   +1 more source

Emergent Chaos‐Like Dynamics of Spin–Orbit‐Torque‐Driven Magnetic Transitions

Small, EarlyView.
By combining anisotropy‐engineered nanometer‐scale nucleation sites with time‐resolved x‐ray holography and micromagnetic modeling, magnetization dynamics are directly imaged, revealing chaos‐like fluctuations and skyrmion shedding and highlighting the intrinsic complexity of spin‐orbit torque driven systems.
L.‐M. Kern, K. Litzius, V. Deinhart, M. Schneider, C. Klose, K. Gerlinger, R. Battistelli, D. Metternich, D. Engel, C. M. Günther, M.‐J. Huang, K. Höflich, F. Büttner, S. Eisebitt, B. Pfau   +14 more
wiley   +1 more source

Birth and Early History of Nonlinear Dynamics in Economics [PDF]

Desde comienzos de los ’80, la elaboración de modelos no lineales se está volviendo una metodología cada vez más popular en economía. Sin embargo, no es tan novedosa como muchos investigadores parecen creer.
Eugenia Perona
core  

Machine Learning‐Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing

Small, EarlyView.
TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah, Azam Zare, Sorosh Abdollahi, Behrouz H. Far, Amir Sanati Nezhad   +4 more
wiley   +1 more source

Information Dynamics and Learning in Complex Adaptive Systems: Toward a Transdisciplinary Framework

Systems Research and Behavioral Science, EarlyView.
ABSTRACT This article develops a framework for understanding learning and adaptation in complex adaptive systems. Drawing from neuroscience, systems theory, information theory and quantum field theory, it examines how information processing, plasticity and systemic coherence emerge from distributed, nonlinear and feedback‐driven interactions. It argues
Anderson de Souza Sant'Anna
wiley   +1 more source

Two-parameter locus of boundary crisis: mind the gaps!

, 2010
Boundary crisis is a mechanism for destroying a chaotic attractor when one parameter is varied. In a two-parameter setting the locus of boundary crisis is associated with curves of homo- or heteroclinic tangency bifurcations of saddle periodic orbits. It
Osinga, Hinke M, Rankin, J
core