Van Der Waals Hybrid Integration of 2D Semimetals for Broadband Photodetection
Advanced broadband photodetector technologies are essential for military and civilian applications. 2D semimetals, with their gapless band structures, high mobility, and topological protection, offer great promise for broadband PDs. This study reviews the latest advancements in broadband PDs utilizing heterostructures that combine 2D semimetals with ...
Xue Li+9 more
wiley +1 more source
Verification of operational numerical weather prediction model forecasts of precipitation using satellite rainfall estimates over Africa. [PDF]
Wang Y+8 more
europepmc +1 more source
This review probes recent advancements in PEMWEs for green hydrogen production from the perspective of acidic OER, identifies challenges related to corrosive environments and oxidative conditions, and proposes strategies to enhance the long‐term stability of PEMWEs by addressing both catalyst and membrane electrode assembly deactivation.
Wenting Feng+9 more
wiley +1 more source
Denoising Algorithm for the FY-4A GIIRS Based on Principal Component Analysis
The Geostationary Interferometric Infrared Sounder (GIIRS) is the first high-spectral resolution advanced infrared (IR) sounder onboard the new-generation Chinese geostationary meteorological satellite FengYun-4A (FY-4A). The GIIRS has 1650 channels, and
Sihui Fan+4 more
doaj +1 more source
Can deep learning beat numerical weather prediction? [PDF]
Schultz MG+7 more
europepmc +1 more source
Proximity‐Mediated Multi‐Ferroelectric Coupling in Highly Strained EuO‐Graphene Heterostructures
Magneto‐ferroelectric effects in van der Waals EuO/graphene heterostructures emerge via a topotactic method, inducing high compressive strain. This strain stabilizes a ferroelectric state up to room temperature, coexisting with the magnetic proximity effect in graphene.
Satakshi Pandey+10 more
wiley +1 more source
High-resolution wind speed forecast system coupling numerical weather prediction and machine learning for agricultural studies - a case study from South Korea. [PDF]
Shin JY, Min B, Kim KR.
europepmc +1 more source
Uncertainty quantification for data-driven weather models [PDF]
Artificial intelligence (AI)-based data-driven weather forecasting models have experienced rapid progress over the last years. Recent studies, with models trained on reanalysis data, achieve impressive results and demonstrate substantial improvements over state-of-the-art physics-based numerical weather prediction models across a range of variables and
arxiv
A sandwich‐like device for stick‐slip perception is developed, featuring a deformable bioinspired ridge layer with capability of lateral deformation and fast recovery. Coupled with magnetized functionality, the morphological transformation is capable to induce periodical electrical pulses which allows to revisit the stick‐slip process when human ...
Dan Fang+6 more
wiley +1 more source
Assessing probabilistic modelling for wind speed from numerical weather prediction model and observation in the Arctic. [PDF]
Chen H+4 more
europepmc +1 more source