A Strategic Approach for Enhanced p‐Type Doping of WSe2 p‐MOSFETs Using an Atomic Oxidation Process
A robust approach to p‐type doping in monolayer WSe2 is demonstrated using phase‐engineered WSeyOx / WSe2 / WSeyOx heterostructures formed via atomic oxidation. Self‐limited surface oxidation enables non‐destructive charge transfer doping while preserving intrinsic channel properties.
Dongjea Seo+10 more
wiley +1 more source
The incorporation of silver nanoparticles into sulfide‐based solid electrolytes is shown to suppress lithium dendrite growth and stress‐induced failure. Combining advanced 3D tomography, electrochemical testing, and modeling, this study reveals how Ag nanoparticles redirect Li currents, homogenize filament growth, and prevent short‐circuiting in the ...
Mouhamad Said Diallo+7 more
wiley +1 more source
Exploring Hybrid Electrolytes for Zn Metal Batteries
The recent advance in the design of hybrid electrolytes for Zn metal batteries is comprehensively reviewed, covering their fundamental properties and classification. Moreover, the chemical strategies for the optimization of battery performances are systematically discussed.
Hao Fu+7 more
wiley +1 more source
Данъчни Ñ Ñ‚Ð¸Ð¼ÑƒÐ»Ð¸ за Ð½Ð°ÑƒÑ‡Ð½Ð¾Ð¸Ð·Ñ Ð»ÐµÐ´Ð¾Ð²Ð°Ñ‚ÐµÐ»Ñ ÐºÐ°Ñ‚Ð° и развойна Ð´ÐµÐ¹Ð½Ð¾Ñ Ñ‚ в Ñ Ñ‚Ñ€Ð°Ð½Ð¸Ñ‚Ðµ от ОИСРи ЕС [PDF]
ЛР̧Ð Ð ̧Ñ Ð”Ð°Ð ⁄ Ñ Ð ⁄ Ð ⁄ Ра
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The review systematically summarizes the design strategy of NiFe‐based catalysts, including anionic modification, cation doping, supporting effect, embedding effect, and multi‐component construction, to boost the performance in rechargeable Zn–air batteries with high activity and sustained stability.
Xiaohong Zou+6 more
wiley +1 more source
ÐŸÑ€ÐµÐ´Ð¸Ð·Ð²Ð¸ÐºÐ°Ñ‚ÐµÐ»Ñ Ñ‚Ð²Ð° при проектиране, изграждане и ÐµÐºÑ Ð¿Ð»Ð¾Ð°Ñ‚Ð°Ñ†Ð¸Ñ Ð½Ð° Ð¿Ð°Ñ Ð¸Ð²Ð½Ð° Ñ Ð³Ñ€Ð°Ð´Ð° в Ð‘ÑŠÐ»Ð³Ð°Ñ€Ð¸Ñ [PDF]
Ð ̄Ð Ð ⁄ Ñ€ СтР⁄ Ñ Ð ⁄ Ð ⁄ Ð
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Electrolyte Design and Optimization for Alkali Metal‐Sulfur Batteries
Alkali metal sulfur‐based batteries, such as Li‐S, Na‐S, and K‐S batteries, are emerging as promising energy storage solutions due to their low cost and high energy density. However, comprehensive studies on the electrolytes used in in these batteries and their impact on electrochemical performance remain limited. This review summarizes recent advances
Min‐Hao Pai, Arumugam Manthiram
wiley +1 more source
Ð Ð¾Ð²Ð¸Ñ Ñ‚ Международен Ñ Ñ‚Ð°Ð½Ð´Ð°Ñ€Ñ‚ за Ñ„Ð¸Ð½Ð°Ð½Ñ Ð¾Ð²Ð¾ отчитане 17 и Ð¿Ñ€ÐµÐ´Ð¸Ð·Ð²Ð¸ÐºÐ°Ñ‚ÐµÐ»Ñ Ñ‚Ð²Ð°Ñ‚Ð° пред Ð·Ð°Ñ Ñ‚Ñ€Ð°Ñ…Ð¾Ð²Ð°Ñ‚ÐµÐ»Ð½Ð¸Ñ‚Ðµ компании [PDF]
Ð Ð ÐμÐ ⁄ Ð ⁄ Ð ⁄ ра СтаР⁄ чÐμРа-ТР⁄ Ð ́Ð ⁄ рР⁄ Ра+1 more
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Machine‐Learning‐Based, Feature‐Rich Prediction of Alumina Microstructure from Hardness
Herein, high‐performance generative adversarial network (GAN), named ‘Microstructure‐GAN’, is demonstrated. After training, the high‐fidelity, feature‐rich micrographs can be predicted for an arbitrary target hardness. Microstructure details such as small pores and grain boundaries can be observed at the nanometer scale in the predicted 1000 ...
Xiao Geng+10 more
wiley +1 more source
ХимичеÑкие компоненты Ñурепки обыкновенной
М. М. Маренич+2 more
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