A5004524853- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Graphene research and applications
- Advanced Battery Technologies Research
- Magnetic Properties and Synthesis of Ferrites
- Fiber-reinforced polymer composites
- Advanced Condensed Matter Physics
- Reservoir Engineering and Simulation Methods
- Thermal properties of materials
- Geographic Information Systems Studies
- Hydraulic Fracturing and Reservoir Analysis
- Hydrocarbon exploration and reservoir analysis
- Inorganic Chemistry and Materials
- Magnetic and transport properties of perovskites and related materials
- Industrial Technology and Control Systems
- Metallurgy and Material Forming
- Supercapacitor Materials and Fabrication
- Structural Health Monitoring Techniques
- Machine Learning in Materials Science
- Image Retrieval and Classification Techniques
- 2D Materials and Applications
- Physics of Superconductivity and Magnetism
Huazhong University of Science and Technology
2022-2023
We report results of magnetization, specific-heat and muon-spin relaxation measurements on single crystals disorder-free Yb$^{3+}$ triangular lattice Yb(BaBO$_3$)$_3$. The magnetization experiments show anisotropic magnetic properties with Curie-Weiss temperatures $\theta_{\perp}=-1.40$~K ($H \perp c$) $\theta_{\parallel}=-1.16$~K \parallel determined from low temperature data. absence both long-range antiferromagnetic order spin freezing is confirmed down to 0.27 K at zero field. A...
The inversion (Li and Mn interchanging sites) of cathode material LiMn2O4 (LMO) on the battery capacity is studied from perspective Jahn–Teller distortion (JTD) manganese dissolution. LMO spinel in orthorhombic structure with anti-ferromagnetic ordering using spin-polarized density functional theory calculations anisotropic (U – J) corrections. charge orderings magnetic moments at normal, half-inverse, full-inverse structures are connected battery's properties. It found that prefer high spin...
Although considered as promising candidates for lithium-ion secondary batteries, spinel LiMn2O4 cathodes suffer from significant capacity decay owing to the Jahn-Teller effect, dissolution of Mn and lattice oxygen loss during charge/discharge process, preventing their wider use. In this work, we realize that F-doping at small concentrations could improve battery voltage reduce using an atomistic model. For voltage, improves about 4.4 eV under large delithiation. decay, it retards reduced...
Two-dimensional materials AB2-type and AB-type not only have robust electrical property, but also thermal stability, which can reduce the risk of runaway battery. While experimental theoretical calculations to explore entire phase space are both very time-consuming, we combine machine learning with first principle screening from 1913 get a new material TiF that has high electronic conductivity, ionic capacity, environmental friendliness low cost. Besides TiF, other six 2D obtained been used...
Abstract Two-dimensional (2D) a-plane gallium nitride, a non-layered 2D material, has promising applications in photoelectric nanodevices due to its direct band bandgap. Herein, employing molecular dynamics simulations, we studied the thermal transport properties of trilayer GaN, and temperature, together with strain modulation on conductivity system. The GaN shows anisotropic 70.22 Wm −1 K 41.81 along zigzag- armchair- directions respectively at room temperature when extrapolated infinite...
Logging tools used for underground oil and gas resource exploration often operate at temperatures above 200°C, their internal electronics are highly susceptible to burnout. In order prevent over-temperature failure of the due prolonged operation, we avert risk by predicting real-time temperature with physical model-based machine learning method. First, based on transient heat transfer equation logging tools, electronic device is determined combination its own historical temperature,...