Results 131 to 140 of about 327,572 (338)
ArchesWeather & ArchesWeatherGen: a deterministic and generative model for efficient ML weather forecasting [PDF]
arXivWeather forecasting plays a vital role in today's society, from agriculture and logistics to predicting the output of renewable energies, and preparing for extreme weather events. Deep learning weather forecasting models trained with the next state prediction objective on ERA5 have shown great success compared to numerical global circulation models ...
arxiv
Advanced Materials Interfaces, EarlyView.Texturing of indium tin oxide (ITO) electrodes on plastic substrates is found to enable both, a remarkable transparency up to the near‐infrared region, and a massively enhanced mechanical stability upon bending. Therefore, textured ITO electrodes are an appealing option for flexible opto‐electronic applications with near‐infrared response, such as all ...
Simon Rieckhoff +7 more
wiley +1 more source
STC-ViT: Spatio Temporal Continuous Vision Transformer for Weather Forecasting [PDF]
arXivOperational weather forecasting system relies on computationally expensive physics-based models. Recently, transformer based models have shown remarkable potential in weather forecasting achieving state-of-the-art results. However, transformers are discrete and physics-agnostic models which limit their ability to learn the continuous spatio-temporal ...
arxiv
The Rise of Refractory Transition‐Metal Nitride Films for Advanced Electronics and Plasmonics
Advanced Materials Interfaces, EarlyView.Transition‐metal nitrides (TMNs) are exceptional materials with high stability, biocompatibility, and semiconductor integration, which have been extensively employed in various fields. However, the epitaxial growth of TMN films remains a challenge. The absence of high‐quality TMNs limits the understanding of their condensed matter physics and hinders ...
Jiachang Bi +3 more
wiley +1 more source
Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic. [PDF]
Sci Rep, 2021 Chen H +4 more
europepmc +1 more source
XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change [PDF]
arXivExtreme weather events are increasing in frequency and intensity due to climate change. This, in turn, is exacting a significant toll in communities worldwide. While prediction skills are increasing with advances in numerical weather prediction and artificial intelligence tools, extreme weather still present challenges.
arxiv
Advanced Materials Technologies, EarlyView.In this work, a methodology is presented for the design, fabrication and characterization of soft–hard interfaces consisting of extremely soft hydrogel biomaterials, and much harder rigid polymeric biomaterials. This approach enables the production of interfaces with performances close to predicted values, with applications in biomaterial fabrication ...
L.B. Kunkels +8 more
wiley +1 more source
Advanced Materials Technologies, EarlyView.The concept of “green” vessels explores naturally derived tubular structures from three decellularized plants—Water Spinach, Green Onion, and Water Horsetail—as innovative alternatives for vessel models and vascular grafts. Microstructural and mechanical testing reveal the promising suturability and mechanical properties of Water Spinach.
Ali Salehi +3 more
wiley +1 more source
AI Models Still Lag Behind Traditional Numerical Models in Predicting Sudden-Turning Typhoons [PDF]
arXivGiven the interpretability, accuracy, and stability of numerical weather prediction (NWP) models, current operational weather forecasting relies heavily on the NWP approach. In the past two years, the rapid development of Artificial Intelligence (AI) has provided an alternative solution for medium-range (1-10 days) weather forecasting. Bi et al. (2023)
arxiv