Results 91 to 100 of about 1,153,224 (274)

Tin‐Based 2D/3D Perovskite Vertical Heterojunction for High‐Performance Synaptic Phototransistors

Advanced Functional Materials, EarlyView.
Phototransistors based on tin‐based 2D/3D perovskite heterostructures show an ultrahigh responsivity and detectivity at a low gate voltage across a broad wavelength region from ultraviolet to near‐infrared. The devices can replicate neuromorphic learning and remembering behaviors to light stimuli, in addition to electric depression and memory erasure ...
Hok‐Leung Loi, Tianyue Wang, Dapeng Liu, Jiupeng Cao, Jing Zhuang, Zeyu Zhao, Yang Xu, Mitch Guijun Li, Liang Li, Tianyou Zhai, Feng Yan   +10 more
wiley   +1 more source

Learning Control of Fixed-Wing Unmanned Aerial Vehicles Using Fuzzy Neural Networks

International Journal of Aerospace Engineering, 2017
A learning control strategy is preferred for the control and guidance of a fixed-wing unmanned aerial vehicle to deal with lack of modeling and flight uncertainties.
Erdal Kayacan, Mojtaba Ahmadieh Khanesar, Jaime Rubio-Hervas, Mahmut Reyhanoglu   +3 more
doaj   +1 more source

On measuring team stability in cooperative learning: An example of consecutive course projects on software engineering [PDF]

arXiv, 2014
Cooperative learning theory has shown that stable membership is a hallmark of effective work teams. According to relation strength and social network centrality, this paper proposes an approach to measure team stability reasons in consecutive cooperative learning.
arxiv  

Heat Conduction Modulation in Incommensurate Twisted Stacking of Transition‐Metal Dichalcogenide

Advanced Functional Materials, EarlyView.
The interlayer thermal conductance in twisted bilayer TMDs is initially investigated experimentally by the thermoreflectance method. The overlap of lattice vibrations within individual layers and the interlayer interactions, as elucidated through both Raman spectroscopy and molecular dynamics simulations, are demonstrated to be critical factors in ...
Bin Xu, Meng An, Satoru Masubuchi, Yuanzhe Li, Rulei Guo, Tomoki Machida, Junichiro Shiomi   +6 more
wiley   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Supplementary Reinforcement Learning Controller Designed for Quadrotor UAVs

IEEE Access, 2019
The control problem for quadrotor UAVs is difficult and challenging due to the complex nonlinear dynamics and ever-changing disturbances. In this paper, a supplementary controller based on reinforcement learning (RL) is proposed to improve the control ...
Xiaobo Lin, Yao Yu, Changyin Sun
doaj   +1 more source

Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics

Advanced Functional Materials, EarlyView.
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti, Davide Pilati, Gianluca Milano, Carlo Ricciardi   +3 more
wiley   +1 more source

M-elite coevolutionary kinetic-molecular theory optimization algorithm

Tongxin xuebao, 2015
M-elite coevolutionary kinetic-molecular theory optimization algorithm (MECKMTOA) was proposed.MECKMTOA uses M elites to avoid misleading,improves the convergence precision by learning and collaboration among the elites,employs a new wave operator to ...
Chao-dong FAN, Jing ZHANG, Ling-zhi YI
doaj   +2 more sources

Application of Intelligent Dynamic Bayesian Network with Wavelet Analysis for Probabilistic Prediction of Storm Track Intensity Index

Atmosphere, 2018
The effective prediction of storm track (ST) is greatly beneficial for analyzing the development and anomalies of mid-latitude weather systems. For the non-stationarity, nonlinearity, and uncertainty of ST intensity index (STII), a new probabilistic ...
Ming Li, Kefeng Liu
doaj   +1 more source

Deep Lyapunov Function: Automatic Stability Analysis for Dynamical Systems [PDF]

arXiv, 2019
Stability analysis plays a crucial role in studying the behavior of dynamical systems with theoretical and engineering applications. Among various kinds of stability, the stability of equilibrium points is of the greatest importance which is mainly studied by Lyapunov's stability theory. This theory requires finding a function with specified properties.
arxiv