Liying Liang

Dr. Liying Liang

School of Materials and Environment, GUANGXI MINZU UNIVERSITY, Nanning, Guangxi, China

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 March 2025 in Metals
Verified
Journal Article
Open access
PDF file
BJbinbin jin
binbin jin
LLLiwei Liao
Liwei Liao
XSXinYi 金斌斌 Shen
XinYi 金斌斌 Shen
ZMZhe Mei
Zhe Mei
QDQingcheng 金斌斌 Du
Qingcheng 金斌斌 Du
JDJun Du
Jun Du
Silicon stands out as an exceptionally viable anode material, distinguished by its substantial capacity, plentiful natural reserves, eco-friendliness, and favorable low working potential. Nonetheless, the material’s pronounced volume fluctuations readily induce particle fragmentation, detachment of active components, and repeated disruption of the solid electrolyte interphase (SEI) layer. These factors contribute to a shortened cycle life and rapid capacity fading, thus hindering its practical application. The carbon composite approach can efficiently counteract these issues by capitalizing on silicon’s high capacity and employing carbon as a cushioning agent to diminish volume swelling, thus enhancing the deployment of silicon-based anode materials. This paper offers an exhaustive examination of the lithiation processes involved in Si/C anodes and delves into the strategic utilization of diverse carbon materials, including graphite, graphene, graphdiyne, carbon nanotubes, carbon fibers, MXenes, pitch, heteroatom-doped polymers, biomass-derived carbon, carbon-containing gas-derived carbon, MOFs, and g-C3N4 to advance the application of silicon in lithium-ion battery (LIB) anodes. Overall, this paper concentrates on summarizing the current research status and technological advancement and juxtaposes the merits and demerits of various carbon sources in Si/C anodes, thus providing a comprehensive assessment and forward-looking perspective on their future development.

29 March 2025 in Metals
Verified
Journal Article
Open access
PDF file
JDJun Du
Jun Du
LLLiwei Liao
Liwei Liao
BJbinbin jin
binbin jin
XSXinYi 金斌斌 Shen
XinYi 金斌斌 Shen
ZMZhe Mei
Zhe Mei
LLLiying Liang
Liying Liang
In recent years, transition metal oxides (TMOs) have emerged as promising candidates for anode materials in lithium-ion batteries (LIBs) owing to their high theoretical capacities. Regrettably, most TMOs exhibit poor electronic/ionic conductivity and undergo substantial volume expansion during the lithiation/delithiation processes. In this study, an electrostatic spinning method using polyacrylonitrile, graphene, and iron(III) acetylacetonate as precursors was employed to synthesize the Fe3O4@G/C composite through carbon coating and graphene doping. The composition, phase structure, and morphology of the Fe3O4@G/C composite were thoroughly investigated. The electrochemical performance of the Fe3O4@G/C composite as a lithium-ion battery anode was evaluated through a continuous charge–discharge cycling test. After 100 cycles at a current density of 0.1 A/g, the specific capacity of the Fe3O4@G/C material remained at 595.8 mAh/g. Additionally, the incorporation of graphene leads to a reduction in the electron orbital energy of Fe, which was verified by comparing the density of states (DOS) before and after the doping. Simultaneously, the electrochemical performance of CoO@G/C and NiO@G/C composites further demonstrates that doping transition metal oxides with graphene can enhance their performance as anodes for lithium-ion batteries. We anticipate that this design concept will open new avenues for the development of transition metal oxides (TMOs) and propel their adoption in practical applications.

11 November 2025 in RSC Advances
Verified
Journal Article
Open access
PDF file
YLYan Liu
Yan Liu
QLQianqian Li
Qianqian Li
HPHonghui Pan
Honghui Pan
LLLiying Liang
Liying Liang
LZLiyang Zhao
Liyang Zhao
XLXixiang Liu
Xixiang Liu
The preparation of magnetic biochar usually requires additives and additional synthesis steps, which leads to a significant increase in preparation costs. In this study, self-endowed magnetic biochar derived from iron-rich sludge was prepared via one-step pyrolysis to adsorb carbamazepine in water. The results show that when the initial concentration of carbamazepine is 5 mg L−1 and the dosage of self-endowed magnetic biochar is 0.9 g L−1, the removal efficiency of carbamazepine by self-endowed magnetic biochar can reach 90.1%, and the adsorption performance is excellent in a wide pH range. The adsorption of carbamazepine by self-endowed magnetic biochar can be well fitted by Langmuir an adsorption isotherm and pseudo-second-order adsorption kinetic model, which indicates that the adsorption process is single molecular layer chemisorption. In addition, self-endowed magnetic biochar has good magnetic properties, and can be effectively separated and recovered by an external magnetic field after use, and the adsorption rate of carbamazepine can still reach 81.4% after repeated use for 5 times. The adsorption mechanism of carbamazepine by self-endowed magnetic biochar includes pore filling, complexation, π–π interaction and hydrogen bonding.

27 December 2023 in ACS Omega
Verified
Journal Article
Open access
LYLei Yang
Lei Yang
LLLang Liu
Lang Liu
YLYuan Liu
Yuan Liu
GCGuangping Chen
Guangping Chen
LLLiying Liang
Liying Liang
The WuMa River (WMR) watershed is located in Renhuai City, Guizhou Province of China, which is a first-class tributary of the Chishui River. The geochemical investigation mainly included the determination of groundwater pH, total hardness, total dissolution solid, major cationic and anionic, and the geochemical groundwater modeling. The principal component analysis (PCA) and Gibbs model were used to analyze the pollution type and geochemical composition. The geochemical investigation results show that the cations of groundwater are dominated by Ca2+ and the anions are dominated by HCO3-; therefore, two main hydrochemical types in the study area are identified as Ca2+-Mg2+-HCO3- and Ca2+-Mg2+-SO42-. The chemical composition of groundwater in this area is mainly controlled by weathering of the carbonate rocks. The ion concentration of groundwater in the study area exhibited significant spatial variability between dry and wet seasons, while temporal changes of cationic and anionic concentrations exhibited irregularities. In PCA and FA analysis, PC1, PC2, and PC3 were extracted, which could explain 51.92, 26.98, and 12.61% of the total information, respectively. F1 explained 67.44% of the total variance, among which Ca2+, Mg2+, K+, SO42-, and Cl- contributed the most among the factors and were the main factors controlling the chemical composition of groundwater. The relative error between the measured water level and the simulated water level is less than 2%, which meets the requirements of simulation accuracy. During the simulation period of the model, a total recharge of 339.05 x 10(4) m(3) was observed in the simulated area, primarily attributed to infiltration from rainfall. The total excretion amounted to 330.78 x 10(4) m(3), primarily through evaporation, with a minor amount of lateral outflow. The migration pathway of pollutants in groundwater primarily follows the direction of groundwater flow while diffusing vertically. The migration range of the pollutant is in accordance with the direction of groundwater flow and extends along the larger hydraulic gradient, demonstrating consistency. The findings of this study serve as a reminder that the closure of coal mines can constitute a significant source of water pollution. Simultaneously, they offer empirical data and theoretical references for the simulation and prediction of groundwater contamination in enclosed coal mines.

12 January 2026 in Journal of Alloys and Compounds
Verified
Journal Article
Closed access
JDJun Du
Jun Du
XSXinYi Shen
XinYi Shen
BJBinbin Jin
Binbin Jin
LLLiwei Liao
Liwei Liao
ZMZhe Mei
Zhe Mei
XTXinyong Tao
Xinyong Tao

30 September 2025 in Journal of Power Sources
Verified
Journal Article
Closed access
JDJun Du
Jun Du
BJBinbin Jin
Binbin Jin
LLLiwei Liao
Liwei Liao
XSXinYi Shen
XinYi Shen
ZMZhe Mei
Zhe Mei
LLLiying Liang
Liying Liang