A Review of Anode Materials for Dual-Ion Batteries

Nano-Micro Letters, Год журнала: 2024, Номер 16(1)

Опубликована: Июль 24, 2024

Distinct from "rocking-chair" lithium-ion batteries (LIBs), the unique anionic intercalation chemistry on cathode side of dual-ion (DIBs) endows them with intrinsic advantages low cost, high voltage, and eco-friendly, which is attracting widespread attention, expected to achieve next generation large-scale energy storage applications. Although electrochemical reactions anode DIBs are similar that LIBs, in fact, match rapid insertion kinetics anions consider compatibility electrolyte system also serves as an active material, materials play a very important role, there urgent demand for rational structural design performance optimization. A review summarization previous studies will facilitate exploration optimization future. Here, we summarize development process working mechanism exhaustively categorize latest research their applications different battery systems. Moreover, design, reaction briefly discussed. Finally, fundamental challenges, potential strategies perspectives put forward. It hoped this could shed some light researchers explore more superior advanced systems further promote DIBs.

Язык: Английский

---

An Ultra-stable Sodium Dual-ion Battery Based on S/Se Co-doped Covalent Organic Framework Anode with 12,000 Cycles Under Lean Electrolyte

Energy storage materials, Год журнала: 2025, Номер unknown, С. 104052 - 104052

Опубликована: Янв. 1, 2025

Язык: Английский

---

Machine‐learning‐assisted intelligent synthesis of UiO‐66(Ce): Balancing the trade‐off between structural defects and thermal stability for efficient hydrogenation of Dicyclopentadiene

Materials Genome Engineering Advances, Год журнала: 2024, Номер unknown

Опубликована: Сен. 7, 2024

Abstract Metal‐organic frameworks (MOFs), renowned for structural diversity and design flexibility, exhibit potential in catalysis. However, the pursuit of higher catalytic activity through defects often compromises stability, requiring a delicate balance. Traditional trial‐and‐error method optimizing synthesis parameters within complex chemical space is inefficient. Herein, taking typical MOF UiO‐66(Ce) as an illustrative example, closed loop workflow built, which integrates machine learning (ML)‐assissted prediction, multi‐objective optimization (MOO) experimental preparation to synergistically optimize defect content thermal stability efficient hydrogenation dicyclopentadiene (DCPD). An automatic data extraction program ensures accuracy, establishing high‐quality database. ML employed explore intricate synthesis‐structure‐property correlations, enabling precise delineation pure‐phase subspace accurate predictions properties. After two iterations, MOO model identifies optimal protocols high (>40%) (>300°C). The optimized exhibits superior performance DCPD, validating precision reliability our methodology. This ML‐assisted approach offers valuable paradigm solving trade‐off riddle materials field.

Язык: Английский

---

Eliminating lithium dendrites via dependable ion regulation of charged nanochannels

Energy storage materials, Год журнала: 2024, Номер 69, С. 103427 - 103427

Опубликована: Апрель 30, 2024

Язык: Английский

---

Chemical perspectives on synthesis, functionalization, artificial intelligence, and energy storage applications of layered double hydroxides-based nanomaterials: A comprehensive review

Coordination Chemistry Reviews, Год журнала: 2025, Номер 537, С. 216705 - 216705

Опубликована: Апрель 16, 2025

Язык: Английский

---