Cr-Doped TiO₂ Core–Shell Nanospheres with Enhanced Photocatalytic Activity and Lithium Storage Capacity

Abstract

Cr-doped TiO 2 core-shell nanospheres have been prepared by a facile one-pot hydrothermal process. The as-prepared Cr-TiO 2 nanospheres exhibit not only a high visible light activity, but also an excellent lithium storage capacity. Various characterization methods indicate that Cr 3þ ions are uniformly distributed into the TiO 2 lattice and a doping level emerges in the bandgap of TiO 2 , which leads to a prominent photocatalytic activity. When the Cr-TiO 2 nanospheres are employed as lithium battery electrodes, the high lithium storage capacity of Cr 2 O 3 and the p-type conductivity of TiO 2 due to doping may be bene¯cial to improve the electrochemical performances of these electrodes.

Nitrogen-Doped Carbon-Coated TiO2/TiF3 Heterostructure Nanoboxes with Enhanced Lithium and Sodium Storage Performance

“…Moreover, NC@TiO 2 /TiF 3 also possesses a good rate capability of up to 2000 mA g −1 (Figure 6C) and satisfactory durability for over 1000 cycles (Figure 6D). The impressive lithium and sodium storage performance of NC@TiO 2 /TiF 3 is competitive and comparable with previous works, including that of pure TiO 2 , 13,16,18,49 TiO 2 /C composites, 21,50,51 and core−shell or yolk−shell TiO 2 nanostructures, 17,52,53 demonstrating the great potential of NC@TiO 2 /TiF 3 as anodes for LIBs and SIBs.…”

Phosphorus-doped TiO2 mesoporous nanocrystals for anodes in high-current-rate lithium ion batteries

“…Moreover, the discharge capacity could be recovered to 176 mAh g -1 with approximately ∼94% capacity retention when the current rate returns to 0.2 C, which represents an excellent rate capability. Compared to the lithium storage performance of other previously reported high efficiency doped titanium oxide-based materials (figure 8(d)), the P-TMC sample exhibits competitive rate capability, owing to improved electronic conductivity induced by P-doping [56][57][58][59][60][61][62][63][64][65][66]. To further verify the improved rate capability of the P-TMC sample, the longer cycling at a high rate of 10 C was also carried out.…”

A data-driven interpretable method to predict capacities of metal ion doped TiO2 anode materials for lithium-ion batteries using machine learning classifiers

“…In recent years, many researchers have devoted a lot of time and resources to using a variety of dopant metallic cations to modify TiO 2 , such as Nb 5+ , Zn 2+ , Sn 4+ , Cr 3+ etc. [13][14][15][16] Although there are some reviews and theoretical research studies allowing one to organize these works, 17,18 obtaining an ideal element and doping ratio still depends on a lot of experiments. Therefore, an effective and quick method is necessary to analyze the datasets and predict the electrochemical performance of materials, which could save so much time and resources.…”