A5101721813- Complex Network Analysis Techniques
- Force Microscopy Techniques and Applications
- Ion channel regulation and function
- Gene Regulatory Network Analysis
- Lipid Membrane Structure and Behavior
- Erythrocyte Function and Pathophysiology
- Electromagnetic Simulation and Numerical Methods
- Gyrotron and Vacuum Electronics Research
- Pulsed Power Technology Applications
- Advanced Graph Neural Networks
- Energy Efficiency and Management
- Evolution and Genetic Dynamics
- Electronic and Structural Properties of Oxides
- Power Systems and Technologies
- Energy and Environment Impacts
- Acoustic Wave Resonator Technologies
- Advanced Clustering Algorithms Research
- Magnetic and transport properties of perovskites and related materials
- Characterization and Applications of Magnetic Nanoparticles
- Advanced Condensed Matter Physics
- Advanced Materials and Mechanics
- Transition Metal Oxide Nanomaterials
- Ferroelectric and Piezoelectric Materials
- Nanopore and Nanochannel Transport Studies
- Smart Grid and Power Systems
Xi'an Jiaotong University
2013-2024
Huaiyin Institute of Technology
2018-2020
Northwest University
2018-2019
Nanjing University of Information Science and Technology
2011
Germany has not yet made significant progress toward achieving SDGs 7 and 13. This challenge can be attributed to the underlying financialization problem in Germany, as well implementation issues related energy efficiency, particularly coal gas, renewable consumption. Given these circumstances, is facing challenges reducing greenhouse gas emissions. Addressing this issue may necessitate a policy realignment, which primary focus of study. In context, our study employs various wavelet-based...
Ionic-liquid gating on a functional thin film with low voltage has drawn lot of attention due to rich chemical, electronic, and magnetic phenomena at the interface. Here, key challenge in quantitative determination voltage-controlled anisotropy (VCMA) Au/[DEME]+ [TFSI]- /Co field-effect transistor heterostructures is addressed. The change as response precisely detected by situ electron spin resonance measurements. A reversible up 219 Oe achieved 1.5 V room temperature, corresponding record...
Complex networks have become high-dimensional, sparse, and redundant due to the rapid expansion of Internet. Effective link prediction techniques are needed obtain most relevant important information for Internet users. A new algorithm based on area under receiver operating characteristic curve (AUC) as evaluation metric is proposed in this paper. In method, AUC treated objective function problem transformed into an optimization problem. group topological features defined each ordered pair...
Tunable inductors are important for $i\phantom{\rule{0}{0ex}}n$ $s\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}u$ performance optimization of electronics. Compared to traditional components, voltage-controlled magnetoelectric based on ferromagnetic-ferroelectric composites efficient and highly integrated. Previous efforts have exploited the linear piezoelectric effect, a volatile behavior, but here authors use large residual strain induced by ferroelastic domain...
In this work, we synthesized (Co(t)/Pt)3 multilayers and quantitatively determined thickness temperature dependence of spin reorientation transition (SRT) perpendicular magnetic anisotropy (PMA) using ferromagnetic resonance measurement. The critical for PMA switching as well tremendous change up to 645 Oe once the varies from 25 °C −153 are demonstrated. More interestingly, a four-fold symmetry was found be prominent during SRT. By conducting simulation with involving high order energy...
Influence maximisation is an important research direction in social networks. The main goal of this approach to select seed nodes the network maximise propagated influence. Because influence NP-hard problem, existing studies have provided approximate solutions, and focuses on framework greed, but time complexity greedy algorithm high. In study, based community detection proposed. This uses K-means divide community. According modularity, optimal segmentation result selected. By calculating...
Summary form only given. The possibility of using a one-step cavity to replace the common tapered extend interaction volume enhance beam-wave in an A6 relativistic magnetron with axial extraction for ease manufacture future experiments is studied particle-in-cell (PIC) code UNIPIC. In stepped driven by transparent cathode, efficiency can be as high 78% GW output power optimized configurations. When voltage 400 kV applied, PIC simulations show that energetic electrons emitted from cathode...
In this paper, we present a new robust delay dependent asymptotic stability criteria for genetic regulatory networks with time varying delays. The obtained results have no restriction on the magnitude of derivative delay, which is less conservative than some existing results. Based Lyapunov theory and linear matrix inequality (LMI), sufficient condition to be are derived in terms LMI, can easily checked via LMI toolbox. A numerical example given demonstrate effectiveness
Ionic-liquid-gating control of interfacial magnetic anisotropy in Au/[DEME]+[TFSI]-/Co/SiO2 multilayer structures is quantitatively determined by the electron spin resonance method, as described article number 1606478 Ziyao Zhou, Ming Liu and co-workers. A reproducible, reversible ferromagnetic field shift 219 Oe at an applied voltage 1.5 V, with a large ME tunability 146 V−1, achieved, assisted electric double layers room temperature.
Influence maximisation is an important research direction in social networks. The main goal of this approach to select seed nodes the network maximise propagated influence. Because influence NP-hard problem, existing studies have provided approximate solutions, and focuses on framework greed, but time complexity greedy algorithm high. In study, based community detection proposed. This uses K-means divide community. According modularity, optimal segmentation result selected. By calculating...