A5019423355- Material Dynamics and Properties
- Spectroscopy and Quantum Chemical Studies
- Theoretical and Computational Physics
- Advanced Chemical Physics Studies
- Advanced Antenna and Metasurface Technologies
- X-ray Spectroscopy and Fluorescence Analysis
- Video Analysis and Summarization
- Metaheuristic Optimization Algorithms Research
- Robotic Path Planning Algorithms
- Quantum, superfluid, helium dynamics
- Advanced Control Systems Optimization
- Iron oxide chemistry and applications
- Electromagnetic wave absorption materials
- Nuclear Physics and Applications
- Machine Learning in Materials Science
- Image and Video Quality Assessment
- Computer Graphics and Visualization Techniques
- Magnetic Properties and Synthesis of Ferrites
Shenyang Aerospace University
2022
Macau University of Science and Technology
2022
Guilin University of Electronic Technology
2021
University of Houston
2018
We describe a strategy for performing canonical and isothermal-isobaric ensemble hybrid Monte Carlo (HMC) simulations with the widely-used Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) molecular dynamics (MD) software package. The overall workflow HMC is handled using an external Python driver script, which invokes LAMMPS’ library interface to perform numerically intensive tasks such as MD integration. document several rigorous consistency checks that have been used...
Large-scale molecular dynamics (MD) simulations of systems containing up to 256,000 molecules were performed investigate the scattering behaviour ST2 water model at deeply supercooled conditions. The reveal that exhibits anomalous scattering, reminiscent observed in experiment, which is characterised by an increase static structure factor low wavenumbers. This unusual linked with coupled fluctuations density and local tetrahedral order liquid. Ornstein–Zernike correlation length estimated...
Aiming at the shortcomings of cascade proportional integral derivative (PID) in flight control system small rotary-wing UAV system, it is difficult to manually adjust parameters and obtained after optimization poor, an improved particle swarm algorithm with nonlinear dynamic weights proposed., And use tuning process PID parameters. Taking quad-rotor as specific research object, firstly, mathematical model established, method adopted inertial for drop processing, which greatly improves its...
We perform large-scale molecular dynamics (MD) simulations of systems with up to 216 000 atoms study the low-temperature behavior mWAC model silica. Recent studies show that exhibits a liquid-liquid phase transition (LLPT), similar one hypothesized occur in deeply supercooled water. Characterization mWAC's small-angle scattering reveals an anomalous increase fluctuations density and local tetrahedral order liquid upon cooling. Moreover, static correlation length computed from component...
Recent advancements in video autoencoders (Video AEs) have significantly improved the quality and efficiency of generation. In this paper, we propose a novel compact autoencoder, VidTwin, that decouples into two distinct latent spaces: Structure vectors, which capture overall content global movement, Dynamics represent fine-grained details rapid movements. Specifically, our approach leverages an Encoder-Decoder backbone, augmented with submodules for extracting these spaces, respectively....
This paper investigates the relationship between ESG information disclosure and stock price synchronicity as well moderation effect of ownership structures on this relationship.Our research extends corporate governance provides other insight important role in governance.We use data from CSMAR with time span 2015 -2019 to examine our hypothesis.We show that higher degree disclosure, lower synchronicity, which means more firm-specific has been incorporated into price.Further, we testify extant...