Ultra-Stable Sodium-Ion Battery Enabled by All-Solid-State Ferroelectric-Engineered Composite Electrolytes. [PDF]
Nanomicro LettWang Y +10 more
europepmc +1 more source
Advanced Energy Materials, EarlyView.“Sodiation of an ultrathin ALD‐ZnF2 layer on an Al current collector generates a sodiophilic Na–Zn alloy and a NaF‐rich SEI, enabling uniform Na deposition and highly reversible anode‐free sodium batteries.” ABSTRACT Achieving high‐energy‐density “anode‐free” sodium batteries remains a daunting challenge due to rapid capacity decay caused by poor ...
Viet Phuong Nguyen +10 more
wiley +1 more source
A Comprehensive Review on Strategies for Enhancing the Performance of Polyanionic-Based Sodium-Ion Battery Cathodes. [PDF]
ACS OmegaJoy A +4 more
europepmc +1 more source
Advanced 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
Yolk-shell SnSe2@NC nanocubes: synergistic interior void and spatial confinement for superior sodium-ion battery anodes. [PDF]
RSC AdvDu Y +8 more
europepmc +1 more source
Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion
Advanced Intelligent Discovery, EarlyView.This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Advanced Intelligent Discovery, EarlyView.Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Predicting Sodium-Ion Battery Performance through Surface Chemistry Analysis and Textural Properties of Functionalized Hard Carbons Using AI. [PDF]
Materials (Basel)Warren-Vega WM +4 more
europepmc +1 more source
Probing Machine Learning Interatomic Potentials on Ion Transport Properties
Advanced Intelligent Discovery, EarlyView.We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia +2 more
wiley +1 more source
Rediscovering Sodium Ionophores as Selective Agents for Lithium Recognition and Extraction
Angewandte 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