Results 111 to 120 of about 2,800 (217)

Redesigning Interlayers for Anode‐Free Batteries: Harnessing Continuity and Metal Inventory

open access: yesAdvanced Energy Materials, EarlyView.
Interlayers for anode‐free batteries must provide continuous interfacial coverage while remaining thin enough to preserve the finite cathode‐derived active‐metal inventory. This Perspective couples thin‐film closure with stoichiometric active‐metal consumption to reveal practical design windows across chemistry, substrate roughness, cathode loading ...
Rosalía Cid, Lorenzo Fallarino
wiley   +1 more source

Synergistic Anode Engineering for Aqueous Aluminium Ion Batteries: From Mechanistic Understanding to Computationally Accelerated Design

open access: yesAdvanced Energy Materials, EarlyView.
Mechanistic anode engineering for aqueous aluminium‐ion batteries is discussed through alloying and microstructure control, surface/interface engineering, and electrolyte modification to regulate ion transport, suppress dendrites, passivation, hydrogen evolution, and side reactions, highlighting standardisation, computational acceleration, and ...
Hong Zhao   +3 more
wiley   +1 more source

Chemomechanically Adaptive MXene–Si–Ag Dual‐Seed Interlayer Enabling Low‐Pressure Sulfide all‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Interfacial chemo‐mechanical instability limits stable operation of sulfide‐based all‐solid‐state batteries under low stack pressure. Here, a chemomechanically adaptive MXene–Si–Ag dual‐seed interlayer integrates immobile and mobile lithiophilic sites within a mechanically compliant MXene framework, regulating Li‐ion flux, stabilizing solid–solid ...
Youngjin Song   +7 more
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

Defect phases beyond grain boundaries. [PDF]

open access: yesMRS Bull
Korte-Kerzel S   +4 more
europepmc   +1 more source

Strong 3D-printed aluminium reinforced with ductile-transformable eutectic nano-skeleton. [PDF]

open access: yesNat Commun
Li Y   +15 more
europepmc   +1 more source

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