Réseau sur le Stockage Electrochimique de l'énergie

Accurately Probing [Fe(CN)6] Defects in Prussian Blue Analogues

Abstract Prussian blue analogues AxM[Fe(CN)6]1–y·zH2O (A = Na, K, M = Fe, Mn) possess a rich crystal chemistry that allows their use as insertion materials for batteries, water treatment, and smart windows, among others, applications. Despite being simple in appearance, their syn...

Dynamics of charge fluctuations in nanocapacitors: Effects of salt concentration and electrode metallicity from Brownian dynamics

Electric double-layer capacitors (EDLCs) rely on the dynamical response of confined electrolytes to store and release charge, yet the interplay between ion transport, electrostatic interactions, and electrode metallicity remains poorly understood at the nanoscale. In this work, w...

Soft-Templated Carbon Models Elucidate the Anomalous Increase of Capacitance in Nanopores

Abstract Supercapacitors are electrochemical energy-storage devices distinguished by rapid charge–discharge and high power density. The observation of anomalously enhanced capacitance in nanoporous carbons challenged classical descriptions of double-layer charging and stimulated...

How fluorinated cyclic ether shapes localized high concentration electrolytes

Localized high concentration electrolytes (LHCEs) have emerged as a transformative choice, simultaneously exhibiting good electrochemical stability, sufficiently fast ionic transport, and improved rate capability. The design principle is to dilute the conventional electrolyte wit...

Overcoming Sampling Limitations Using Machine-Learned Interatomic Potentials: The Case of Water-in-Salt Electrolytes

Abstract Machine-learned interatomic potentials hold the promise to enable the modeling of highly concentrated liquids over meaningful time scales, far from reach for current ab initio electronic structure methods. Here we evaluate the performances of various MACE potentials in m...

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

ABSTRACT Optimization of electrochemical energy storage and conversion devices often depends on the electrode microstructure properties, of which its 3D representation provides the most complete link between manufacturing process and device performance. Deep generative models can...

Accelerating charging dynamics of electric double-layer capacitors

Electric double-layer capacitors (EDLCs), consisting of an ionic fluid between two metallic electrodes, are electrochemical energy storage devices complementary to batteries, allowing for a faster charge/discharge. The charging dynamics in response to a voltage step features a va...