A5101430677- Chalcogenide Semiconductor Thin Films
- Surface and Thin Film Phenomena
- Robotic Path Planning Algorithms
- Semiconductor materials and interfaces
- Autonomous Vehicle Technology and Safety
- Advanced Thermoelectric Materials and Devices
- Geophysical Methods and Applications
- Theoretical and Computational Physics
- Thermography and Photoacoustic Techniques
- ZnO doping and properties
- Vehicular Ad Hoc Networks (VANETs)
- Magnetic properties of thin films
- Landslides and related hazards
- Nonlinear Optical Materials Research
- Image Processing Techniques and Applications
- Machine Learning in Materials Science
- Electron and X-Ray Spectroscopy Techniques
- Heusler alloys: electronic and magnetic properties
- Spectroscopy and Laser Applications
- Climate change and permafrost
- Physics of Superconductivity and Magnetism
- GaN-based semiconductor devices and materials
- Crystal Structures and Properties
- Robotics and Sensor-Based Localization
Southwest Minzu University
2016-2024
Hunan Xiangdian Test Research Institute (China)
2022
Sichuan University
2016-2018
Central South University
2015
Texas A&M University
2013
We perform large-scale Monte Carlo simulations using the Machta-Newman-Chayes algorithms to study critical behavior of both diluted antiferromagnet in a field with 30% dilution and random-field Ising model Gaussian random fields for different strengths. Analytical calculations by Cardy [Phys. Rev. B 29, 505 (1984)] predict that models map onto each other share same universality class limit vanishing fields. However, detailed finite-size scaling analysis Binder cumulant two-point correlation...
Abstract Accurate and rapid bandgap prediction is a fundamental task in materials science. We propose graph neural networks with transfer learning to overcome the scarcity of training data for high-fidelity predictions. also add perturbation-based component our framework improve explainability. The experimental results show that consisting graph-level pre-training standard fine-tuning achieves superior performance on all tasks training-set sizes. Furthermore, provides reliable explanation...
The mid-infrared (mid-IR) nonlinear optical (NLO) capabilities of Mg–IV–V2 (IV = Si, Ge, Sn; V P, As) are systematically assessed by the first-principles calculation. results show that compounds in this group except MgSiP2 and MgSnP2 have moderate birefringence values to fulfill phase-matching conditions. In particular, MgGeP2 MgSiAs2 possess relatively large band gaps almost three four times larger static SHG coefficients than benchmark material AgGaSe2, exhibiting good potential for mid-IR...
Short Retraction Notice This article has been retracted to straighten the academic record. In making this decision Editorial Board follows COPE's Guidelines. The aim is promote circulation of scientific research by offering an ideal publication platform with due consideration internationally accepted standards on ethics. would like extend its sincere apologies for any inconvenience retraction may have caused. Please see page more details. full notice in PDF preceding original paper which...
We performed the first-principles calculations on elastic and thermal properties for chalcopyrite ZnSnX 2 (X = P, As, Sb), employing ultrasoft pseudo-potentials generalized gradient approximation (GGA) under frame of density functional theory. The equilibrium structural lattice constants are in good agreement with reported data. characteristics were evaluated high-pressure condition (0–20 GPa), such as constants, bulk modulus, shear Poisson’s ratio, Zener anisotropy compressibility index....
In order to solve the obstacle avoidance path planning problem of automatic driving vehicles on unstructured roads, an A* algorithm is used search for collision-free path. The waypoints are compressed by RDP (Ramer-Douglas-Peucker) [5]. A polynomial fit between two adjacent ensure continuity vehicle speed, acceleration, jerk (derivative acceleration), and snap jerk), so that unmanned drives smoothly. Finally, five S-curves complete speed-time path, colliding parts filled interpolation....