Results 191 to 200 of about 270,244 (281)

High Mobility (>200 cm2 V−1 s−1) Transparent Top Gate IGZO TFTs with Oxidized Metal Gate Insulator for Enhanced Conductivity

open access: yesAdvanced Electronic Materials, EarlyView.
We demonstrate a top gate Nb capping TFT architecture that induces controlled oxygen out‐diffusion from the IGZO channel. This mechanism generates shallow donor states and enhances electron delocalization, enabling extended percolation pathways. The resulting thin‐film transistors exhibit high mobility, suppressed leakage currents, and strong optical ...
Hyeonjeong Sun   +10 more
wiley   +1 more source

Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam   +3 more
wiley   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang   +6 more
wiley   +1 more source

Operator-level quantum acceleration of non-logconcave sampling. [PDF]

open access: yesProc Natl Acad Sci U S A
Leng J, Ding Z, Chen Z, Lin L.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Compositional Tuning and Surface Restructuring Synergistically Enhance Perovskite Ferrite Catalysts for Hydrogen Evolution in a Membrane‐Less Electrolyzer

open access: yesAdvanced Energy Materials, EarlyView.
In this work, a self‐restructuring Fe‐based perovskite catalyst is developed, leveraging in situ amorphization to achieve a “self‐improving” behavior for hydrogen evolution. When integrated into a custom‐built membrane‐less electrolyzer, the system demonstrates a record‐breaking 1000 h stability, providing a robust and practical pathway for the ...
Yixin Bi   +8 more
wiley   +1 more source

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