Results 101 to 110 of about 1,651,776 (309)

Multi‐Li+ Coordination for Superior Room‐Temperature Ionic Conductivity in PEO Solid Electrolytes

open access: yesAdvanced Materials, EarlyView.
A phosphonate‐functionalized polycarboxylate ether (P‐PCE) is introduced into PEO electrolytes to induce multi‐Li+ ions coordination, which effectively dissociates lithium salts, liberates Li+ from the strong chelation by PEO chains, and promotes fast Li+ hopping between adjacent coordination sites. Simultaneously, this design establishes dynamic, high‐
Hengming Yan   +11 more
wiley   +1 more source

Using Grey Model to Predict Lithium-ion Battery Discharge Behavior [PDF]

open access: yes, 2012
[[abstract]]In this paper, the study of Li-ion battery discharge voltage predicting using Grey model is presented. A test-bed for the battery discharge predicting is designed and devised.
Liu, Chuan-Sheng; Chen, Liang‐Rui
core  

Lithium-ion intercalation by coupled ion-electron transfer [PDF]

open access: yes
Lithium-ion batteries are powering a revolution in electrification, but the underlying intercalation mechanism at the electrified interface remains poorly understood.
Ryoichi, Tatara   +16 more
core   +2 more sources

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

open access: yesAdvanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang   +12 more
wiley   +1 more source

Direct regeneration of spent LiFePO4 cathode materials through Li+ supplementation and Sm doping

open access: yesNano Research Energy
LiFePO4 is widely used as a stable and environmentally benign cathode material. However, its reuse potential is constrained by recycling challenges and significant performance degradation after decommissioning.
Yuyun Li   +7 more
doaj   +1 more source

Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes

open access: yesAdvanced Materials, EarlyView.
A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu   +16 more
wiley   +1 more source

Advancing hard carbon anode for sodium-ion batteries: Mechanisms and optimization strategies

open access: yesNano Research Energy
The development of sodium-ion battery technology has played a pivotal role in driving innovation within the energy storage field. Over the past several years, ranging from laboratories to industrial practice, this field has achieved phased results ...
Yujie Guo   +7 more
doaj   +1 more source

Methanesulfonic Acid as a Dual‐Role Reagent for Porous Polymer Network Design

open access: yesAdvanced Materials, EarlyView.
The design of porous polymer networks (PPNs) using methanesulfonic acid (MSA) as a dual‐role reagent facilitates the synthesis of robust PPNs for specific applications. It also makes the scale‐up process techno‐economically feasible because MSA functions simultaneously as both a solvent and a catalyst for the reaction.
Kelechi Festus   +8 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

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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