Results 131 to 140 of about 1,321,813 (309)

Dynamic Electrophoretic Assembly Coupled With Water‐Splitting‐Induced pH Control Enables Precision Ion Sieving Membranes

open access: yesAdvanced Materials, EarlyView.
A green, external‐catalyst‐free route grows defect‐free covalent organic framework membranes directly on ion‐exchange supports using an alternating electric field and in situ‐generated acid. Through a self‐regulating, self‐healing mechanism, the membranes achieve near‐complete, ultra‐fast separation of monovalent ions such as Li+, Na+, and K+, offering
Mohammad Hossein Jandaghian   +8 more
wiley   +1 more source

Investigations of rate limitation in nanostructured composite electrodes and experiments towards a 3D Li-ion microbattery

open access: yes, 2011
The factors effecting discharge rate limitation within LiFePO4 composite electrode structures have been investigated. It was found that for composite electrodes containing ‘small particles’ of active material solid state processes are not necessarily ...
Johns, Phillip A.
core   +1 more source

Lithium-ion conducting ceramic/polyether composites

open access: yes, 1998
Composites of a lithium ion conducting ceramic with a lithium salt based polymer electrolyte matrix are described. Conductivity measurements as a function of the lithium ion conducting ceramic phase content in the composite show that there is a ...
K Nairn (13502332)   +3 more
core  

In Situ Lithium Nitridosilicate Interlayer via Reactive Anolyte Design for All‐Solid‐State Silicon Anodes

open access: yesAdvanced Materials, EarlyView.
Interfacial reactions in all‐solid‐state batteries are conventionally suppressed; here, they are designed. Vacancy‐rich β‐Li3N, acting as an anolyte, reacts controllably with silicon during composite anode fabrication, building a purpose‐made lithium nitridosilicate interlayer on every particle surface.
Tongtai Ji   +9 more
wiley   +1 more source

Progress on the Attenuation Mechanism and Modification of the Cobalt‐Free Spinel LiNi0.5Mn1.5O4

open access: yesAdvanced Science
Cobalt‐free LiNi0.5Mn1.5O4 (LNMO) has recently emerged as a highly promising cathode material owing to its benefits of a high operating voltage platform (≈4.7 V vs Li), high theoretical energy density (≈650 Wh kg−1), eco‐friendliness, and resource ...
Bao Zhang   +11 more
doaj   +1 more source

Probing the Causes and Effects of Parasitic Reactions in Lithium-Ion Cells

open access: yes, 2018
Parasitic reactions in lithium-ion cells consume solvent, salt and active lithium ions, resulting in a loss of capacity and eventual cell failure. The projects described in this thesis have the common goal of exposing the chemical mechanisms of these ...
Ellis, Leah
core  

Low Resistance Interphase Formation at the PEO‐LiTFSI|LGPS Interface in Lithium Solid‐State Batteries

open access: yesAdvanced Materials Interfaces, EarlyView.
Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar   +6 more
wiley   +1 more source

Lithium-Rich Transition Metal Oxides as Positive Electrode Materials in Lithium-Ion Batteries

open access: yes, 2010
Lithium-rich transition metal oxides are candidates for the next-generation lithium-ion battery positive electrode materials. They have a much higher first charge and low-rate cycling capacity compared to non-lithium rich transition metal oxides.
van Bommel, Andrew
core  

Using a Zero‐Strain Reference Electrode to Distinguish Anode and Cathode Volume Changes in a Solid‐State Battery

open access: yesAdvanced Materials Interfaces, EarlyView.
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans   +5 more
wiley   +1 more source

Deep learning based emulator for predicting voltage behaviour in lithium ion batteries

open access: yesScientific Reports
This study presents a data-driven battery emulator using long short-term memory deep learning models to predict the charge–discharge behaviour of lithium-ion batteries (LIBs).
Kanato Oka   +7 more
doaj   +1 more source

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