Results 91 to 100 of about 14,297 (297)
Advanced Science, EarlyView.By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song +5 more
wiley +1 more source
, 2008 Includes abstract.Includes bibliographical references (p. 229-253).This study investigates the climatology, intensification and ocean atmosphere interaction in relation to the passage of tropical cyclones (TCs) in the South-West Indian Ocean (SWIO).
Mavume, Alberto Francisco
core
Forecasting ocean wave-induced seismic noise; supporting dataset
, 2023 Dataset supporting the manuscript "Forecasting ocean wave-induced seismic noise"
Gaffet, Stéphane +3 more
core +1 more source
GLONET: Mercator's End‐to‐End Neural Global Ocean Forecasting System
Journal of Geophysical Research: Machine Learning and ComputationAccurate ocean forecasting is crucial in different areas ranging from science to decision making. Recent advancements in data‐driven models have shown significant promise, particularly in weather forecasting community, but yet no data‐driven approaches ...
Anass El Aouni +7 more
doaj +1 more source
Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries
Advanced Energy Materials, EarlyView.Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi +3 more
wiley +1 more source
Coupled Prediction: Integrated Atmosphere-Wave-Ocean forecasting. [PDF]
, 2022 It is difficult to overestimate the importance of the ocean for mankind and animal life on our planet. Covering 70% of the Earth’s surface, the ocean is the world's largest source of oxygen and absorbs 50 times more carbon dioxide than the atmosphere ...
Wang, Keguang +5 more
core
Journal of Geophysical Research: Machine Learning and ComputationTropical cyclones (TCs) pose significant threats to coastal communities and ecosystems underscoring the need for accurate and timely monitoring of their structure and intensity. Although satellite infrared (IR) imagery provides continuous global coverage,
Chong Wang, Xiaofeng Li
doaj +1 more source
Constructing a 22-year internal wave dataset for the northern South China Sea: spatiotemporal analysis using MODIS imagery and deep learning [PDF]
Earth System Science DataInternal waves (IWs) are an important ocean phenomenon facilitating energy transfer between multiscale ocean processes. Understanding such processes necessitates the collection and analysis of extensive observational data.
X. Zhang, X. Zhang, X. Li, X. Li
doaj +1 more source
Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao +3 more
wiley +1 more source
Long-Term Significant Wave Height Forecasting in the Western Atlantic Ocean Using Deep Learning
This study presents a significant wave height correction model using deep learning techniques to enhance long-term wave forecast capabilities. The model utilises buoy measurements to assess the forecasting accuracy of the ECMWF 15-day forecast of ...
Dina Silva +5 more
core +1 more source