A5100428837- Photonic Crystals and Applications
- Photonic and Optical Devices
- Model Reduction and Neural Networks
- Porphyrin and Phthalocyanine Chemistry
- Advanced Sensor and Energy Harvesting Materials
- Micro and Nano Robotics
- Differential Equations and Numerical Methods
- Crystal Structures and Properties
- Fern and Epiphyte Biology
- Inorganic Chemistry and Materials
- Opinion Dynamics and Social Influence
- Contact Mechanics and Variational Inequalities
- Electrochemical sensors and biosensors
- Tactile and Sensory Interactions
- Optical Coatings and Gratings
- Complex Network Analysis Techniques
- Photorefractive and Nonlinear Optics
- Nonlinear Differential Equations Analysis
- Transportation and Mobility Innovations
- Advanced Battery Technologies Research
- Mechanical Behavior of Composites
- Material Properties and Failure Mechanisms
- Magnetism in coordination complexes
- Polymer crystallization and properties
- Electric Vehicles and Infrastructure
Yangzhou University
2023-2024
Beijing Institute of Technology
2022
Northeastern University
2018
Qingdao University
2013-2016
Sichuan University
2008
Central Institute for Art History
1996
Designing and synthesizing multifunctional hybrid copper halides with near ultraviolet (NUV) light-excited high-energy emission (<500 nm) remains challenging. Here, a pair of broadband-excited emitting isomers, namely, α-/β-(MePh
Two polar organic–inorganic metal halides (C 20 H P)CuX 2 (X = Cl, Br) feature rare quasi-linear [CuX ] − units and exhibit phase-matchable SHG effects, the structure–NLO properties relationship is investigated systematically.
Abstract Designing and synthesizing multifunctional hybrid copper halides with near ultraviolet (NUV) light‐excited high‐energy emission (<500 nm) remains challenging. Here, a pair of broadband‐excited emitting isomers, namely, α‐ / β‐ (MePh 3 P) 2 CuI P=methyltriphenylphosphonium), were synthesized. blue peaking at 475 nm is firstly discovered wherein its structure contains regular [CuI ] 2− triangles crystallizes in centrosymmetric space group P 1 c . While β ‐(MePh featuring distorted...
Whiskers of some animals, such as rats and cats, can actively sense stimuli from their surrounding environment. Such a capability is attractive for intelligent mobile robots. However, an artificial whisker with similar abilities has not been fully developed so that the robots acquire environment information in active approach rats. In this paper, we propose new bioinspired whisking tactile sensor (MAWS) capable sensing distance, shape, size, orientation caves environmental conditions. Two...
We present an approach to construct approximate Koopman-type decompositions for dynamical systems depending on static or time-varying parameters. Our method simultaneously constructs invariant subspace and a parametric family of projected Koopman operators acting this subspace. parametrize both the operator dictionary that spans by neural networks jointly train them with trajectory data. show theoretically validity our approach, demonstrate via numerical experiments it exhibits significant...
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Crescent scatterers possess the properties of anisotropy and multiple degrees freedom. With plane-wave expansion method (PWE), slow light effect with high n g low dispersion can be achieved by optimizing structure parameters photonic crystal waveguide line defect, such as changing radius two circles center distance. Slow obtained these methods, which implies that choosing suitable adjusting their efficiently achieve dispersion.
with the strong impact of OTT (Over The Top) business in mobile Internet era, operators urgently need to discover user value information from massive data help them provide personalized accurate services and expand customer services. construction social groups based on communication can accurately analyze structures, thus promoting quality service improving marketing quality. In this paper, we design a set group algorithm behavior characteristics excavated network. Due huge volume sets,...
Meta-learning of numerical algorithms for a given task consists the data-driven identification and adaptation an algorithmic structure associated hyperparameters. To limit complexity meta-learning problem, neural architectures with certain inductive bias towards favorable structures can, should, be used. We generalize our previously introduced Runge-Kutta network to recursively recurrent (R2N2) superstructure design customized iterative algorithms. In contrast off-the-shelf deep learning...