Results 191 to 200 of about 27,927 (311)

Current‐Driven Li2O Formation in Catalyst‐Free Solid‐State Li‐O2 Batteries Enabling Simultaneous High Energy and High Power

open access: yesAdvanced Energy Materials, EarlyView.
A catalyst‐free solid‐state Li‐O2 battery achieves current‐driven four‐electron Li2O formation, delivering simultaneous high‐energy and high‐power operation with 1032 Wh·kg−1 and 374 W·kg−1 in a single cell. ABSTRACT Li‐O2 batteries offer a compelling pathway toward next‐generation energy storage owing to their ultrahigh theoretical energy density ...
Shu‐Ting Ko   +9 more
wiley   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen   +5 more
wiley   +1 more source

Rediscovering Sodium Ionophores as Selective Agents for Lithium Recognition and Extraction

open access: yesAngewandte Chemie, EarlyView.
Long‐classified sodium ionophores unexpectedly prefer lithium and act as efficient extractants in solid–liquid extraction (SLE). Readily prepared from catechol and haloacetamides, these hosts recover hydrated LiCl from multicomponent salt mixtures via a hydration‐assisted O···Li+ binding mode, enabling scalable lithium separation with Li/Na, Li/K, and ...
Jakub Narodowiec   +6 more
wiley   +2 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Optimize Before You Synthesize—Enhancing the Ionic Conductivity of Li7SiPS8 Using Bayesian Optimization

open access: yesAngewandte Chemie, EarlyView.
Bayesian optimization was used to optimize the synthesis parameters of the solid electrolyte Li7SiPS8$\mathrm {Li}_7\mathrm {SiPS}_8$ in order to increase the ionic conductivity. After only 32 iterations, the ionic conductivity was successfully increased from 2 to 7 mS cm−1$\mathrm {cm}^{-1}$ at 25∘C$^\circ\mathrm {C}$, while synthesis temperature and ...
Lucas G. Balzat   +8 more
wiley   +2 more sources

Covalent Organic Framework Mediated Solvation Regulation Reinforces Anion-Derived Interface in Quasi-Solid-State Electrolytes for High-Performance Silicon-Based Lithium-Ion Batteries. [PDF]

open access: yesChemSusChem
Cai T   +16 more
europepmc   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

open access: yesAdvanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Mechanically Adaptive Polyrotaxane Interlayers for Low‐Pressure High Energy Density Sulfide‐Based All‐Solid‐State Batteries

open access: yesAngewandte Chemie, EarlyView.
A mechanically adaptive interface enhances the stability and cycling performance of lithium metal all‐solid‐state batteries, particularly under low pressure. The interface design synergistically integrates indium fluoride with polyrotaxane, where the inorganic component effectively suppresses lithium dendrite formation and the organic component ...
Jihoon Oh   +3 more
wiley   +2 more sources

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