- Graphene research and applications
- Graphene and Nanomaterials Applications
- Electromagnetic Effects on Materials
- Anomaly Detection Techniques and Applications
- Advanced Image and Video Retrieval Techniques
- Magnetic and Electromagnetic Effects
- Robotics and Sensor-Based Localization
- Adversarial Robustness in Machine Learning
- Advanced Neural Network Applications
- Microwave-Assisted Synthesis and Applications
- Advancements in Battery Materials
- Chemical Synthesis and Characterization
- Robotic Path Planning Algorithms
- DNA and Biological Computing
- Supercapacitor Materials and Fabrication
- MXene and MAX Phase Materials
- Electromagnetic Launch and Propulsion Technology
- Error Correcting Code Techniques
- Magnetic Properties of Alloys
- Nanomaterials for catalytic reactions
- Neural Networks and Applications
- Chemical Synthesis and Analysis
- Modular Robots and Swarm Intelligence
Beihang University
2019-2023
Fudan University
2017-2018
Abstract Herein we report that a small amount of graphite can unexpectedly act as the catalyst to greatly promote microwave exfoliation and reduction oxide in ambient air. The reaction be finished few seconds contrast more than ten minutes without catalyst. catalytic exfoliated (CMEGO) is higher quality traditional oxide, including much degree with thinner graphene sheets specific surface area (886 m 2 g −1 vs. 466 ), larger C/O ratio (19.4 6.3) lattice crystallinity, well significantly...
Simultaneous Localization and Mapping (SLAM) is a critical task for autonomous navigation. However, due to the computational complexity of SLAM algorithms, it very difficult achieve real-time implementation on low-power platforms. We propose an energy-efficient architecture ORB (Oriented-FAST Rotated-BRIEF) based visual system by accelerating most time-consuming stages feature extraction matching FPGA platform. Moreover, original descriptor pattern reformed as rotational symmetric manner...
The assembly of graphene into functional macrostructures has attracted intense interest in recent years.
The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly addressing the overfitting issue faced by deep neural networks. In recent years, networks (BNNs) have drawn tremendous attention to artificial intelligence (AI) researchers proved be successful in many applications. However, required high computation complexity makes BNNs difficult deployed computing systems with a limited power budget. this article, an efficient BNN inference flow proposed...
Bayesian inference is an effective approach for solving statistical learning problems, especially with uncertainty and incompleteness. However, a computing-intensive task whose efficiency physically limited by the bottlenecks of conventional computing platforms. In this paper, spintronics-based stochastic (SC) proposed efficient inference. The inherent switching behaviors spintronic devices are exploited to build bitstream generator (SBG) SC hybrid CMOS/magnetic tunnel junction (MTJ)...
Abstract Herein we report that a small amount of graphite can unexpectedly act as the catalyst to greatly promote microwave exfoliation and reduction oxide in ambient air. The reaction be finished few seconds contrast more than ten minutes without catalyst. catalytic exfoliated (CMEGO) is higher quality traditional oxide, including much degree with thinner graphene sheets specific surface area (886 m 2 g −1 vs. 466 ), larger C/O ratio (19.4 6.3) lattice crystallinity, well significantly...
Graphene oxide (GO) is not only a unique class of two-dimensional (2D) materials but also an important precursor for scalable preparation graphene. The efficient size fractionation GO great importance to the fundamental and applied studies chemically modified graphene, remains challenge. Herein, we report method employing reversible adsorption/desorption temperature-responsive poly(N-isopropylacrylamide) on amplify its mass difference significantly improve efficiency. Furthermore,...
Simultaneous Localization and Mapping (SLAM) is a critical task for autonomous navigation. However, due to the computational complexity of SLAM algorithms, it very difficult achieve real-time implementation on low-power platforms.We propose an energy efficient architecture ORB (Oriented-FAST Rotated- BRIEF) based visual system by accelerating most time consuming stages feature extraction matching FPGA platform.Moreover, original descriptor pattern reformed as rotational symmetric manner...
The diamagnetic levitation technique can be applied to non-destructive testing for identifying cracks and defects in magnetic materials. Pyrolytic graphite is a material that leveraged micromachines due its no-power on permanent magnet (PM) array. However, the damping force pyrolytic prevents it from maintaining con-tinuous motion along PM This paper investigates in-plane characteristics of sheets centroid will maintain stable when positioned intersecting point Fur-thermore, two different...
The diamagnetic levitation technique can be applied in non-destructive testing for identifying cracks and defects magnetic materials. Pyrolytic graphite is a material that leveraged micromachines due to its no-power on permanent magnet (PM) array. However, the damping force pyrolytic prevents it from maintaining continuous motion along PM This study investigated process of array various aspects drew several important conclusions. Firstly, intersection points had lowest potential energy...
Die mikrowellenunterstützte Exfolierung …… und Reduktion von Graphitoxid (GO) in Umgebungsluft wird durch eine kleine Menge Graphit beschleunigt, das unerwarteterweise als Katalysator wirkt. Y. Xu Mitarbeiter zeigen ihrer Zuschrift auf S. 15883, dass Produkt, katalytisch mikrowellenunterstützt exfoliertes (CMEGO), über sehr hohe elektrochemische Aktivität Anode Lithium- Natriumionenbatterien verfügt.
Bayesian method is capable of capturing real world uncertainties/incompleteness and properly addressing the over-fitting issue faced by deep neural networks. In recent years, Neural Networks (BNNs) have drawn tremendous attentions AI researchers proved to be successful in many applications. However, required high computation complexity makes BNNs difficult deployed computing systems with limited power budget. this paper, an efficient BNN inference flow proposed reduce cost then evaluated...