A5101642028- Magnesium Alloys: Properties and Applications
- Machine Learning in Materials Science
- Aluminum Alloys Composites Properties
- Metal and Thin Film Mechanics
- X-ray Diffraction in Crystallography
- Catalysis and Oxidation Reactions
- Hydrogen Storage and Materials
- Advanced Chemical Physics Studies
- Educational Technology and Pedagogy
- Adsorption and biosorption for pollutant removal
- Iron oxide chemistry and applications
- Boron and Carbon Nanomaterials Research
- Aluminum Alloy Microstructure Properties
- Aerodynamics and Fluid Dynamics Research
- Graphene research and applications
- Force Microscopy Techniques and Applications
- Microstructure and Mechanical Properties of Steels
- Phosphorus and nutrient management
- Hydrogen embrittlement and corrosion behaviors in metals
- Welding Techniques and Residual Stresses
- MXene and MAX Phase Materials
- Lubricants and Their Additives
- Carbon Nanotubes in Composites
- High-pressure geophysics and materials
- Tribology and Lubrication Engineering
Chongqing University
2021-2024
Peking University
2023-2024
Beijing University of Chemical Technology
2005-2024
Wuhan University of Science and Technology
2024
Shenyang Aluminum & Magnesium Engineering & Research Institute (China)
2024
North China University of Science and Technology
2021
University of Electronic Science and Technology of China
2010
In traditional finite-temperature Kohn–Sham density functional theory (KSDFT), the partial occupation of a large number high-energy KS eigenstates restricts use first-principles molecular dynamics methods at extremely high temperatures. However, stochastic (SDFT) can overcome this limitation. Recently, SDFT and related mixed stochastic–deterministic theory, based on plane-wave basis set, have been implemented in electronic structure software ABACUS [Q. Liu M. Chen, Phys. Rev. B 106, 125132...
Constructing an accurate atomistic model for the high-pressure phases of tin (Sn) is challenging because properties Sn are sensitive to pressures. We develop machine-learning-based deep potentials with pressures ranging from 0 50 GPa and temperatures 2000 K. In particular, we find potential, which obtained by training ab initio data density functional theory calculations state-of-the-art SCAN exchange-correlation functional, suitable characterize Sn. systematically validate several...
Rapid advancements in machine-learning methods have led to the emergence of machine-learning-based interatomic potentials as a new cutting-edge tool for simulating large systems with ab initio accuracy. Still, community awaits universal models that can be applied wide range materials without tuning neural network parameters. We develop unified deep-learning potential (the DPA-Semi model) 19 semiconductors ranging from group IIB VIA, including Si, Ge, SiC, BAs, BN, AlN, AlP, AlAs, InP, InAs,...
Abstract The rotary joint is the key device of marine clutch. Once seal fails, power cannot be transmitted. In view above problems, this research studies influence shape, installation and rotation motion errors on clearance seal. results show that compared with absence roundness error, error shaft will increase leakage by about 2.5-4.9 %. cylindrical bushing reduce leakage, but it bring more serious friction, wear life problems. existence radial larger obvious flow field extrusion, higher...
To explore the realm of English education through contemporary advancements in artificial intelligence (AI), language methods have developed significantly traditional approaches that usually trouble with individualized learning needs and cannot handle diverse proficiency levels. This paper reveals most prominent problem inefficiency non-personalized experiences college as a significant concern existing literature. In response, it suggests novel method called Artificial Intelligence based...
In this study, the adsorption of PO[Formula: see text], HPO[Formula: H 2 text] on intrinsic, Co-doped and Ni-doped graphene has been investigated through density functional theory (DFT) calculations. Computing final distance, energy, electron partial states shows that between intrinsic phosphate ions is weak, it only physical adsorption. However, doping with Ni or Co greatly enhances its leads to chemisorption. Combined analysis variation in conductance, more sensitive thus a promising...
In traditional finite-temperature Kohn-Sham density functional theory (KSDFT), the well-known orbitals wall restricts use of first-principles molecular dynamics methods at extremely high temperatures. However, stochastic (SDFT) can overcome limitation. Recently, SDFT and its related mixed stochastic-deterministic theory, based on plane-wave basis set, have been implemented in electronic structure software ABACUS [Phys. Rev. B 106, 125132(2022)]. this study, we combine with Born-Oppenheimer...
The preparation of microwave sintered graphite/diamond and carbon nanotubes/diamond composite are discussed in this article. Morphology the nanocomposites studied using high resolution transmission electron microscopy (HRTEM) scanning (SEM). Results on stable emission current measurement done after electrical conditioning.