Yinpeng Wang
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View article: High‐Asymmetry Metasurface: A New Solution for Terahertz Resonance via Active Learning‐Augmented Diffusion Model
High‐Asymmetry Metasurface: A New Solution for Terahertz Resonance via Active Learning‐Augmented Diffusion Model Open
Terahertz (THz) metamaterials with high‐figure‐of‐merit (high‐FoM) performance resonance are essential for advancing sensors, detectors, and imagers. Conventional designs focus on symmetric or low‐asymmetry geometric structures, leaving hi…
View article: A Radical‐Based, Transition Metal‐Free Approach for Diaryl Ketone Synthesis
A Radical‐Based, Transition Metal‐Free Approach for Diaryl Ketone Synthesis Open
Diaryl ketones represent a pivotal class of compounds, widely used in pharmaceuticals, agrochemicals, and materials science. Driven by the urgent need for safer and more sustainable synthetic methodologies, developing innovative approaches…
View article: Multi-receptive-field physics-informed neural network for complex electromagnetic media
Multi-receptive-field physics-informed neural network for complex electromagnetic media Open
Acquiring the electromagnetic response of intricate media at the nanoscale constitutes a pivotal phase in the design intricacies of nanophotonic apparatuses. Conventional numerical algorithms often necessitate intricate and specialized tre…
View article: Coupled multiphysics solver for irregular regions based on graph neural network
Coupled multiphysics solver for irregular regions based on graph neural network Open
Multiphysics analysis, involving the coupled phenomena of various physics fields, such as electro-mechanical, thermofluidic, thermoelectric, and thermo-hygric phenomena, plays a critical role in advancing technology and engineering discipl…
View article: Identification of Quality Markers in Schisandra chinensis (Turcz.) Baill. Using UPLC-Q-Extractive Orbitrap/MS, Chemometric Analysis, and Network Pharmacology
Identification of Quality Markers in Schisandra chinensis (Turcz.) Baill. Using UPLC-Q-Extractive Orbitrap/MS, Chemometric Analysis, and Network Pharmacology Open
Chemical composition is a critical factor for determining the efficacy of any traditional Chinese medicine (TCM) and can be used as an indicator of commercial quality. To develop a new strategy for discovering potential quality markers (Q-…
View article: Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography
Simultaneous Extraction and Determination of Lignans from Schisandra chinensis (Turcz.) Baill. via Diol-Based Matrix Solid-Phase Dispersion with High-Performance Liquid Chromatography Open
The quality of Schisandra chinensis (Turcz.) Baill. (S. chinensis) is principally attributed to lignan compounds. In this paper, a simple and rapid strategy for simultaneous extraction and determination of 10 lignans from S. chinensis was …
View article: Coupled Multiphysics Solver for Irregular Regions Based on Graph Neural Network
Coupled Multiphysics Solver for Irregular Regions Based on Graph Neural Network Open
View article: Wave transformation -- Simulation and Application
Wave transformation -- Simulation and Application Open
This paper focus on the theoretical analysis and simulation of electromagnetic wave transforms, which is widely encountered in teaching physics. When the electromagnetic wave is not consistent with the shape of the object, it is often nece…
View article: Predicting surface heat flux on complex systems via Conv-LSTM
Predicting surface heat flux on complex systems via Conv-LSTM Open
Existing algorithms with iterations as the principle for 3D inverse heat conduction problems (IHCPs) are usually time-consuming and resource-demanding. With the recent advancements in deep learning techniques, it is possible to apply the n…
View article: High Noise Immune Time-domain Inversion via Cascade Network (TICaN) for Complex Scatterers
High Noise Immune Time-domain Inversion via Cascade Network (TICaN) for Complex Scatterers Open
In this paper, a high noise immune time-domain inversion cascade network (TICaN) is proposed to reconstruct scatterers from the measured electromagnetic fields. The TICaN is comprised of a denoising block aiming at improving the signal-to-…
View article: Predicting Surface Heat Flux on Complex Systems via Conv-LSTM
Predicting Surface Heat Flux on Complex Systems via Conv-LSTM Open
Existing algorithms with iterations as the principle for 3D inverse heat conduction problems (IHCPs) are usually time-consuming. With the recent advancements in deep learning techniques, it is possible to apply the neural network to comput…
View article: Predicting Surface Heat Flux on Complex Systems Via Conv-LSTM
Predicting Surface Heat Flux on Complex Systems Via Conv-LSTM Open
View article: Predicting Scattering From Complex Nano-Structures via Deep Learning
Predicting Scattering From Complex Nano-Structures via Deep Learning Open
Existing numerical electromagnetic (EM) solvers are usually computationally expensive, time consuming, and memory demanding. Recent advances in deep learning (DL) techniques have demonstrated superior efficiency and provide an alternative …
View article: Clinical prognostic model for older patients with advanced non-small cell lung cancer
Clinical prognostic model for older patients with advanced non-small cell lung cancer Open
View article: Comparative metagenomics sequencing analysis of respiratory microbiome in healthy and infected individuals
Comparative metagenomics sequencing analysis of respiratory microbiome in healthy and infected individuals Open