A5100461993- Laser-Plasma Interactions and Diagnostics
- Laser-Matter Interactions and Applications
- Advanced Adaptive Filtering Techniques
- Advanced Fiber Laser Technologies
- Blind Source Separation Techniques
- Autism Spectrum Disorder Research
- Advanced MRI Techniques and Applications
- Speech and Audio Processing
- Atomic and Subatomic Physics Research
- Image and Signal Denoising Methods
- Quantum and electron transport phenomena
- Indoor and Outdoor Localization Technologies
- Gyrotron and Vacuum Electronics Research
- Laser Design and Applications
- Quantum optics and atomic interactions
- Topological Materials and Phenomena
- Fault Detection and Control Systems
- Wireless Communication Networks Research
- Solid State Laser Technologies
- Particle accelerators and beam dynamics
- PAPR reduction in OFDM
- Graphene research and applications
- Optimal Power Flow Distribution
- Laser Material Processing Techniques
- Energy Load and Power Forecasting
National University of Defense Technology
2023-2025
Harbin Institute of Technology
2012-2025
Albany State University
2025
University at Albany, State University of New York
2025
Southeast University
2022-2024
Hanyang University
2022-2024
Central South University
2024
West Virginia University
2024
Tianjin University
2024
Southwest Petroleum University
2021-2023
We report on the laser pulse output of 339 J centered at 800 nm from a chirped-pulse amplification (CPA) Ti:sapphire system Shanghai Superintense Ultrafast Laser Facility. The experimental results demonstrated that parasitic lasing as well transverse amplified spontaneous emission homemade 235-mm-diameter final amplifier were suppressed successfully via temporal dual-pulse pumped scheme and index-matching liquid cladding technique. maximum pump-to-signal conversion efficiency 32.1% was...
We report on an experimental and theoretical study of a large-aperture Ti:Sapphire (Ti:S) amplifier pumped with novel temporal dual-pulse scheme to suppress the parasitic lasing (PL) transverse amplified spontaneous emission (TASE) for high-energy chirped-pulse amplification (CPA). The pump energy distribution was optimized time delay between each pulse controlled precisely. Both numerical results confirm that technique can effectively PL TASE. maximum output 202.8 J obtained from final...
Double deformable mirrors (DMs) with different actuator densities are cascaded to optimize the wavefront aberrations improve focus intensity of Shanghai super-intense ultrafast laser facility (SULF), which plans generate 10 PW pulse. The beam near focal spot corrected from 0.556 um 0.112 in RMS by a 300-mm DM large stroke installed after compressor. After then, it is further optimized 0.041 using 130-mm high spatial resolution working main amplifier. focused 2.75 × 2.87 um2 at full width...
Electroencephalography (EEG) datasets are characterized by low signal-to-noise signals and unquantifiable noisy labels, which hinder the classification performance in rapid serial visual presentation (RSVP) tasks. Previous approaches primarily relied on supervised learning (SL), may result overfitting reduced generalization performance. In this paper, we propose a novel multi-task collaborative network (MTCN) that integrates both SL self-supervised (SSL) to extract more generalized EEG...
In this Letter, we present a study of high-energy and high-conversion-efficiency broadband optical parametric chirped-pulse amplification (OPCPA) system with 100 mm×100 mm×17 mm LBO crystal near 800 nm. The results showed that the back-conversion was sensitively affected by pump intensity injected signal intensity. It occurred when above 0.82 J energy 170 J, effect also reshaped amplified spectrum. After optimization, an 45.3 achieved conversion efficiency 26.3% OPCPA. peak power hybrid...
To construct a more effective model with good generalization performance for inter-site autism spectrum disorder (ASD) diagnosis, domain adaptation based ASD diagnostic models are proposed to alleviate the heterogeneity. However, most existing methods only reduce marginal distribution difference without considering class discriminative information, and difficult achieve satisfactory results. In this paper, we propose low rank representation (LRCDR) multi-source unsupervised method...
Abstract Limited test data hinder the accurate prediction of mechanical strength and permeability permeable cement-stabilized base materials (PCBM). Here we show a kriging-based surrogate model assisted artificial neural network (KS-ANN) framework that integrates laboratory testing, mathematical modeling, machine learning. A statistical distribution was established from limited to enrich dataset through combination markov chain monte carlo simulation modeling. Subsequently, an (ANN) trained...
Accelerated magnetic resonance imaging (MRI) aims to reconstruct high-quality MR images from a set of under-sampled measurements. State-of-the-art methods for this task use deep learning, which offers high reconstruction accuracy and fast runtimes. In work, we propose new state-of-the-art model accelerated MRI reconstruction. Our is the first combine power neural networks with iterative refinement task. For network component our method, utilize transformer-based architecture as transformers...
Abstract Electric‐field‐induced shape memory effect has potential applications in electromechanical actuator. Here, this study proposes the a phase structure design routine (1‐ x )(75Na 0.5 Bi TiO 3 ‐25SrTiO )‐ PbTiO ceramics to obtain large response and effect. It is found that closely related bending deformation induced by asymmetric polarization between positive negative electrodes, which resulted from reductions of 3+ Pb 2+ because electron injection electrode. In addition, content...
<title>Abstract</title> Diagnosing Autism Spectrum Disorder (ASD) based on speech patterns in examiner-patient dialogues presents significant challenges due to the subtle and varied nature of speech-related symptoms. This study analyzes recorded using Diagnostic Observation Schedule (ADOS-2) identify distinctive characteristics. We extracted 40 features, categorized into intonation, volume, rate, pauses, spectral characteristics, chroma, duration. These analyzed advanced tools, captured...
We propose and demonstrate a high-precision active control technique for tiled-aperture coherent beam combining suitable high-power laser pulses. The method is hybrid structure based on the near-field interference fringe single-crystal balanced optical cross-correlation, which enables loop to exhibit high accuracy, wide dynamic range, good capacity resisting energy disturbance. In proof-of-principle experiment, we realized an adjustable bandwidth of approximately 100 Hz (limited by speed...
Frequency domain spline adaptive filters (FDSAF) have attracted a great deal of attention because their enhanced computational efficiency. However, performance will be extremely degraded in practical environments where non-Gaussian phenomena exist. In order to attain good robustness noises while ensuring low burden, this paper proposes frequency filtering algorithm based on the half-quadratic criterion (HQC), named FDSAF-HQC. Further, offer theoretical foundation for proposed FDSAF-HQC,...
We describe a pattern recognition system for classifying immunofluorescence images of HEp-2 cells into six classes: homogeneous, speckled, nucleolar, centromere, golgi, and nuclear membrane. use locality-constrained linear coding to encode multiple local features two-level cell pyramids capture spatial structure cells. An ensemble support vector machines is used classify each image. Leave-one-specimen-out experiments on the I3A Contest Task 1 training data set predicted mean class accuracy 80.25%.
In this Letter, we report the demonstration of coherent beam combining (CBC) two-beam femtosecond laser pulses based on chirped-pulse amplification (CPA). To best our knowledge, is first experimental realization combination from Ti:sapphire CPA systems. experiment, combined beams operate at a repetition rate 1 Hz, and reference introduced to detect phase error between sub-beams. Finally, realize efficiency 90% which verified feasibility for CBC. Moreover, influence process CBC studied.
The exponential functional link network (EFLN) has been recently investigated and applied to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a novel inverse square root (ISR) cost function, called the EFLN-ISR algorithm, whose learning capability is robust under impulsive interference. steady-state performance of rigorously derived then confirmed by numerical simulations. Moreover, validity proposed justified actually experimental results with...
The launching process of multistage synchronous induction coilgun (MSSICG) is a complex involving multifield coupling, so it time-consuming to iteratively optimize its structural parameters by stochastic optimization algorithm. A nonlinear regression modeling method MSSICG based on mainstream machine learning methods proposed in this paper. Rooted the current filament model (CFM) verified prototype experiment, sample set for training and testing could be obtained hybrid experimental design...
Proteins with different micropatterns have various applications in biosensing, structural analysis, and other biomedical fields. However, processing of on single protein crystals remains a challenge due to the fragility molecules. In this work, we studied femtosecond laser hen egg white lysozyme crystals. Optimized parameters were found achieve micropatterning without cracking The ablation morphology dependence fluence pulse number was discussed control results. Under higher than 1 J/cm2,...