Ionics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 26, 2025
Language: Английский
Ionics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 26, 2025
Language: Английский
Nano-Micro Letters, Journal Year: 2024, Volume and Issue: 16(1)
Published: July 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.
Language: Английский
Citations
19Small, Journal Year: 2025, Volume and Issue: 21(7)
Published: Jan. 6, 2025
Abstract Owing to its abundant manganese source, high operating voltage, and good ionic diffusivity attributed 3D Li‐ion diffusion channels. Spinel LiMn 2 O 4 is considered a promising low‐cost positive electrode material in the context of reducing scarce elements such as cobalt nickel from advanced lithium‐ion batteries. However, rapid capacity degradation inadequate rate capabilities induced by Jahn–Teller distortion dissolution have limited large‐scale adoption spinel for decades. In this study, 1.98 Mg 0.005 Ti Sb Ce (HE‐LMO) with remarkable interfacial structural cycling stability developed based on complex concentrated doping strategy. The initial discharge retention HE‐LMO are 111.51 mAh g −1 90.55% after 500 cycles at 1 C. as‐prepared displays favorable stability, significantly surpassing pristine sample. Furthermore, theoretical calculations strongly support above finding. has higher more continuous density states Fermi energy level robust bonded electrons among Mn─O atom pairs. This research contributes field high‐entropy modification establishes facile strategy designing manganese‐based batteries (LIBs).
Language: Английский
Citations
2Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 114, P. 115826 - 115826
Published: Feb. 14, 2025
Language: Английский
Citations
2Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 495, P. 153648 - 153648
Published: July 1, 2024
Language: Английский
Citations
15Energy storage materials, Journal Year: 2024, Volume and Issue: 71, P. 103638 - 103638
Published: July 14, 2024
Language: Английский
Citations
10Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: unknown, P. e01111 - e01111
Published: Sept. 1, 2024
Language: Английский
Citations
9Advanced Engineering Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 18, 2025
Disordered structures, characterized by their lack of periodicity, present significant challenges in fields such as materials science and biology. Conventional methods often fall short capturing the intricate properties behaviors these complex systems. For example, prediction material amorphous polymers high‐entropy alloys has historically been inaccurate due to inherent disorder, which arises from probabilistic nature structural defects nonuniform atomic arrangements. However, rise machine learning (ML) offers a revolutionary approach understanding predicting behavior disordered materials. This perspective article explores how ML techniques, including neural networks generative models, provide unprecedented insights into with driving advances industries energy storage, drug discovery, engineering. By leveraging powerful algorithms, researchers can now predict properties, identify hidden patterns, accelerate discovery novel Case studies illustrate ability overcome data scarcity, enhance model reliability, enable real‐time analysis structures. While quality computational costs remain, integration traditional marks transformative leap our navigate landscape, setting stage for ground‐breaking discoveries.
Language: Английский
Citations
1Advanced Energy Materials, Journal Year: 2024, Volume and Issue: 14(44)
Published: Aug. 11, 2024
Abstract To facilitate the practical application of aqueous Zn metal batteries, numerous artificial interlayers are designed to mitigate rampant parasitic reactions and uncontrollable dendrite growth on anode. Traditionally, these prepared through doctor blade method. However, introduced insulting binder generally compromises their interfacial performance. In this study, metal–organic framework (MOF) interlayer is fabricated anode by a facile binder‐free electrosynthesis technique. The electrosynthetic Co‐ZIF‐8 enables sustain cycles 1280 h with low voltage hysteresis. Moreover, full cells coupled MnO 2 NH 4 V O 10 cathodes exhibit exceptional cycling performance, maintaining 89% 72% initial capacity after cycles, respectively. Based SEM measurements density functional theory calculations, densely packed morphology, unimpeded 2+ ions transport channels, affinity imidazole ring Co node within ZIF‐8 structure atom demonstrated inhibit reactions, promote transport, realize uniform deposition. proposed method for constructing MOF provides straightforward reliable approach developing highly stable
Language: Английский
Citations
7Chemistry of Materials, Journal Year: 2024, Volume and Issue: 36(12), P. 6167 - 6179
Published: June 3, 2024
Zeolitic imidazolate framework (ZIF) glasses featuring nanoscale porosity have attracted significant attention due to their potential applications in catalysis, energy storage, gas sorption, and separation. However, mechanical properties may limit some of these applications. In this work, we investigate the structural origins variation zinc-based ZIF-62 (ZnIm2–xbImx) with different benzimidazolate (bIm) (Im) ratios. This is achieved using large-scale molecular dynamics simulations a recent machine learning force field. We find that simulated ZIF glass structures match those determined X-ray total scattering. The relatively large bIm group found hinder reconstruction coordination network during quenching melts, leading more disordered Zn tetrahedra. Both Young's modulus fracture toughness decrease an increase content. Upon fracturing, all organic linkers remain intact, while Zn–N bond switching dissipates strain energy. By correlating atomic static structure, deformation propensity correlated mobility, which turn by initial volume before across variety compositions values. These findings could be helpful for designing fracture-resistant metal–organic future.
Language: Английский
Citations
4FlatChem, Journal Year: 2025, Volume and Issue: unknown, P. 100807 - 100807
Published: Jan. 1, 2025
Language: Английский
Citations
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