A study on Ti-doped Fe3O4 anode for Li ion battery using machine learning, electrochemical and distribution function of relaxation times (DFRTs) analyses

Bionic Capsule Lithium-Ion Battery Anodes for Efficiently Inhibiting Volume Expansion

Magnetite (Fe3O4) has a large theoretical reversible capacity and rich Earth abundance, making it a promising anode material for LIBs. However, it suffers from drastic volume changes during the lithiation process, which lead to poor cycle stability and low-rate performance. Hence, there is an urgent need for a solution to address the issue of volume expansion. Taking inspiration from how glycophyte cells mitigate excessive water uptake/loss through their cell wall to preserve the structural integrity of cells, we designed Fe3O4@PMMA multi-core capsules by microemulsion polymerization as a kind of anode materials, also proposed a new evaluation method for real-time repair effect of the battery capacity. The Fe3O4@PMMA anode shows a high reversible specific capacity (858.0 mAh g-1 at 0.1 C after 300 cycles) and an excellent cycle stability (450.99 mAh g-1 at 0.5 C after 450 cycles). Furthermore, the LiNi0.8Co0.1Mn0.1O2/Fe3O4@PMMA pouch cells exhibit a stable capacity (200.6 mAh) and high-capacity retention rate (95.5 %) after 450 cycles at 0.5 C. Compared to the original battery, the capacity repair rate of this battery is as high as 93.4 %. This kind of bionic capsules provide an innovative solution for improving the electrochemical performance of Fe3O4 anodes to promote their industrial applications.

Si@Fe3O4/AC composite with interconnected carbon nano-ribbons network for high-performance lithium-ion battery anodes

Si-based anode materials have a relatively high theoretical specific capacity and low operating voltage, greatly enhancing the energy density of rechargeable lithium-ion batteries (LIBs). However, their practical application is seriously hindered by the instability of active particles and anode electrodes caused by the huge swelling during cycling. How to maintain the stability of the charge transfer network and interface structure of Si particles is full of challenges. To address this issue, we have developed a novel Si@Fe3O4/AC/CNR anode by in-situ growing one-dimensional high elastic carbon nano-ribbons to wrap Si nanoparticles. This special structure can construct fast channels of electron transport and lithium ion diffusion, and stabilize the surface structure of Si nanoparticles during cycling. With these promising architectural features, the Si@Fe3O4/AC/CNR composite possesses a high specific capacity of 1279.4 mAh/g at 0.5 A/g, and a superior cycling life with 80 % capacity retention after 700 cycles. Even at a high current density of 20.0 A/g, the composite still delivers a capacity of 621.2 mAh/g. The facile synthetic approach and high performance of Si@Fe3O4/AC/CNR anodes provide practical insight into advanced anode materials with large volume expansion for high-energy-density LIBs.

AI for Nanomaterials Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS)

Zero-carbon energy and negative emission technologies are crucial for achieving a carbon neutral future, and nanomaterials have played critical roles in advancing such technologies. More recently, due to the explosive growth in data, the adoption and exploitation of artificial intelligence (AI) as part of the materials research framework have had a tremendous impact on the development of nanomaterials. AI has enabled revolutionary next-generation paradigms to significantly accelerate all stages of material discovery and facilitate the exploration of the enormous design space. In this review, we summarize recent advancements of AI applications in nanomaterials discovery, with a special emphasis on the selected applications of AI and nanotechnology for the net-zero emission future including the development of solar cells, hydrogen energy, battery materials for renewable energy, and CO₂ capture and conversion materials for carbon capture, utilization and storage (CCUS) technologies. In addition, we discuss the limitations and challenges of current AI applications in this area by identifying the gaps that exist in current development. Finally, we present the prospect for future research directions in order to facilitate the large-scale applications of artificial intelligence for advancements in nanomaterials.

Ultrafine Mix-Phase SnO-SnO2 Nanoparticles Anchored on Reduced Graphene Oxide Boost Reversible Li-Ion Storage Capacity beyond Theoretical Limit

Tin-based materials with high specific capacity have been studied as high-performance anodes for Li-ion storage devices. Herein, a mix-phase structure of SnO-SnO₂@rGO (rGO = reduced graphene oxide) was designed and prepared via a simple chemical method, which leads to the growth of tiny nanoparticles of a mixture of two different tin oxide phases on the crumbled graphene nanosheets. The three-dimensional structure of graphene forms the conductive framework. The as-prepared mix phase SnO-SnO₂@rGO exhibits a large Brunauer-Emmett-Teller surface area of 255 m² g^-1 and an excellent ionic diffusion rate. When the resulting mix-phase material was examined for Li-ion battery anode application, the SnO-SnO₂@rGO was noted to deliver an ultrahigh reversible capacity of 2604 mA h g^-1 at a current density of 0.1 A g^-1. It also exhibited superior rate capabilities and more than 82% retention of capacity after 150 charge-discharge cycles at 0.1 A g^-1, lasting until 500 cycles at 1 A g^-1 with very good retention of the initial capacity. Owing to the uniform defects on the rGO matrix, the formation of LiOH upon lithiation has been suggested to be the primary cause of this very high reversible capacity, which is beyond the theoretical limit. A Li-ion full cell was assembled using LiNi_0.5Mn_0.3Co_0.2O₂ (NMC-532) as a high-capacity cathodic counterpart, which showed a very high reversible capacity of 570 mA h g^-1 (based on the anode weight) at an applied current density of 0.1 A g^-1 with more than 50% retention of capacity after 100 cycles. This work offers a favorable design of electrode material, namely, mix-phase tin oxide-nanocarbon matrix, exhibiting adequate electrochemical performance for Li storage applications.