4,218 publications from this institution
Electronics fabricated by using inner crystal piezopotential as a "gate" voltage to tune/control the charge transport behavior is named piezotronics, with applications in strain/force/pressure triggered/controlled electronic devices, sensors and logic units. Piezo-phototronic effect is a result of three-way coupling among piezoelectricity, photonic excitation and semiconductor transport, which allows tuning and controlling of electro-optical processes by strain induced piezopotential. The objective of this talk is to introduce the fundamentals of piezotronics and piezo-phototronics and to give an updated progress about their applications in energy science and sensors.
Abstract The triboelectric nanogenerator (TENG) as a new power-generation technology was reported by Wang and co-workers in 2012. Because of its great potential for scavenging mechanical energy from living environment and sustainably driving portable devices, many researchers have developed various methods to improve output performances of TENG. In this paper, we review the progress in TENG made as flexible power sources by integrating flexible materials and stretching structures, especially for the applications of flexible electronics. For optimizing performances of TENG, the structural designs, material selections, and hybrid energy cells are presented. The reported TENG as flexible power sources has the potential applications in lighting up light emitting diodes (LEDs), powering sensors, and monitoring biomechanical motions.
Abstract Triboelectric nanogenerators are devices that effectively convert ambient mechanical energy into electricity, which can be used as a power source or a sensor signal. Since first proposed by Dr. Zhong Lin Wang in 2012, the development of triboelectric nanogenerators has grown rapidly. Herein, the development of the triboelectric nanogenerator and its global impact is investigated by analyzing the statistical publication numbers and the geographic distribution of the publications. In addition, this article also features the main applications of triboelectric nanogenerators such as blue energy, self‐powered sensor/systems, and micro‐/nanoenergy, and points out its future outlook. Several challenges and fundamental physical questions are also discussed to provide a more comprehensive view of this revolutionary technology.
Kalman filters are widely used for object tracking, where process and measurement noise are usually considered accurately known and constant. However, the exact known and constant assumptions do not always hold in practice. For example, when lidar is used to track noncooperative targets, the measurement noise is different under different distances and weather conditions. In addition, the process noise changes with the object's motion state, especially when the tracking object is a pedestrian, and the process noise changes more frequently. This paper proposes a new estimation-calibration-correction closed-loop estimation method to estimate the Kalman filter process and measurement noise covariance matrices online. First, we decompose the noise covariance matrix into an element distribution matrix and noise intensity and improve the Sage filter to estimate the element distribution matrix. Second, we propose a calibration method to accurately diagnose the noise intensity deviation. We then propose a correct method to adaptively correct the noise intensity online. Third, under the assumption that the system is detectable, the unbiased and convergence of the proposed method is mathematically proven. Simulation results prove the effectiveness and reliability of the proposed method. Finally, we apply the proposed method to multiobject tracking of lidar and evaluate it on the official KITTI server. The proposed method on the KITTI pedestrian multiobject tracking leaderboard (http://www.cvlibs.net/datasets /kitti/eval_tracking.php) surpasses all existing methods using lidar, proving the feasibility of the method in practical applications. This work provides a new way to improve the performance of the Kalman filter and multiobject tracking.
The electrical double layer (EDL) at solid‐liquid interfaces has been recognized as a pivotal platform for coupling ionic and electronic processes, through which integrated energy harvesting and intelligent information modulation can be enabled. In this review, the evolution from classical EDL models at conductor‐liquid interfaces to extended frameworks for nonconductor‐liquid systems is revisited, and the structure‐function relationships across diverse interfacial environments are elucidated. Building upon this foundation, the implemented energy and information technologies are systematically classified based on the dynamic regulation strategies of different EDL substructures. For energy harvesting and conversion, solid–liquid triboelectric nanogenerators and charge‐supplementary triboiontronics nanogenerators are developed via the regulation of the diffuse layer, while entire‐EDL modulation gives rise to technologies like hydrovoltaic nanogenerators and triboiontronics nanogenerators based on asymmetric EDLs. Moreover, mechanisms for information scavenging and modulation are examined, where diffuse‐layer dynamics are utilized for interfacial charge probe, entire‐EDL reconfiguration is applied to neuromorphic circuit control, and ionic memory emulation, underwater wireless communication, and neuromimetic logic gates are implemented—largely inspired by biological signal transmission. Finally, future application scenarios are outlined, while key challenges are analyzed. Through this comprehensive overview, guidance is provided for leveraging dynamically regulated EDLs to advance next‐generation multifunctional, energy‐information‐coupled systems.