Lithium‐ion batteries (LIBs) remain central to energy storage but suffer from slow ion transport and degradation. Here, we present a binder‐free Ti3C2Tx MXene/GnR hybrid electrode with a porous 3D architecture formed via freeze casting. The structure enhances conductivity, ion transport, and stability, delivering 401 mAh/g, ∼97% efficiency, and 92 ...
Sara Mohseni Taromsari +10 more
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Seasonal forecasting using the GenCast probabilistic machine learning model. [PDF]
Antonio B, Strommen K, Christensen HM.
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Environmental evolution of a coastal lake in the Larsemann Hills, East Antarctica during the Holocene: a multi-proxy perspective. [PDF]
Joju GS +12 more
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Advancing global sea ice prediction capabilities using a fully coupled climate model with integrated machine learning. [PDF]
Gregory W +6 more
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Sea ice concentration off Dronning Maud Land, Antarctica
Pavlova, Olga, Winther, Jan-Gunnar
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Ocean heat forced West Antarctic Ice Sheet retreat after the Last Glacial Maximum. [PDF]
Mawbey EM +12 more
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The contribution of sea-ice recrystallization to the Arctic snowpack. [PDF]
Macfarlane AR +11 more
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Western North Pacific influences on the interannual to decadal variability of Barents-Kara Sea ice during spring. [PDF]
Cao S +6 more
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Sea Ice Concentration from the RADARSAT Constellation Mission for Numerical Sea Ice Prediction
2021 IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), 2021In this study, our technique for automated extraction of sea ice concentration from RADARSAT-2 data was adapted to the recently launched RADARSAT Constellation mission (RCM). Ice concentrations were derived from more than 2,600 RCM images acquired between August 1, 2020 and March 31, 2021.
Alexander S. Komarov, Mark Buehner
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Abstract The current GFDL seasonal prediction system, the Seamless System for Prediction and Earth System Research (SPEAR), has shown skillful prediction of Arctic sea ice extent with atmosphere and ocean constrained by observations. In this study we present improvements in subseasonal and seasonal predictions of Arctic sea ice by directly assimilating
Yong-Fei Zhang +9 more
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