Results 261 to 270 of about 294,753 (307)

Enhanced Li‐Ion Battery Performance with Hybrid MXene/GnR Electrodes: Heterojunctions and Engineered Architectures Supported by DFT Mechanistic Studies for Improved Rate Performance, Stability & Capacity

open access: yesAdvanced Functional Materials, EarlyView.
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
wiley   +1 more source

Environmental evolution of a coastal lake in the Larsemann Hills, East Antarctica during the Holocene: a multi-proxy perspective. [PDF]

open access: yesSci Rep
Joju GS   +12 more
europepmc   +1 more source

Ocean heat forced West Antarctic Ice Sheet retreat after the Last Glacial Maximum. [PDF]

open access: yesNat Commun
Mawbey EM   +12 more
europepmc   +1 more source

The contribution of sea-ice recrystallization to the Arctic snowpack. [PDF]

open access: yesNat Commun
Macfarlane AR   +11 more
europepmc   +1 more source

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), 2021
In 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
openaire   +1 more source

Subseasonal-to-Seasonal Arctic Sea Ice Forecast Skill Improvement from Sea Ice Concentration Assimilation

Journal of Climate, 2022
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
openaire   +1 more source

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