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Centralizers in graph products of semigroups

Semigroup forum, 2023-02, Vol.106 (1), p.285-326

2023

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Nanopore Creation in Graphene by Ion Beam Irradiation: Geometry, Quality, and Efficiency

ACS applied materials & interfaces, 2016-09, Vol.8 (37), p.24803-24809

2016

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Hierarchical deep-learning neural networks: finite elements and beyond

Computational mechanics, 2021, Vol.67 (1), p.207-230

2021

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Clustering discretization methods for generation of material performance databases in machine learning and design optimization

Computational mechanics, 2019-08, Vol.64 (2), p.281-305

2019

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A general phase-modulating solution for generating optical array with arbitrary dimensions via mapping space

Applied physics letters, 2023-02, Vol.122 (9)

2023

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Exploration of chemical components and metabolite synthesis pathways in eight Ephedra species based on HS-GC-MS and UPLC-Q-TOF-MS

Frontiers in plant science, 2024-06, Vol.15, p.1421008

2024

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Exploring Antioxidant and α-Glucosidase Inhibitory Activities in Mulberry Leaves ( Morus alba L.) across Growth Stages: A Comprehensive Metabolomic Analysis with Chemometrics

Molecules (Basel, Switzerland), 2023-12, Vol.29 (1), p.171

2023

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Molecular Networking, Network Pharmacology, and Molecular Docking Approaches Employed to Investigate the Changes in Ephedrae Herba before and after Honey-Processing

Molecules (Basel, Switzerland), 2022-06, Vol.27 (13), p.4057

2022

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Antibiotics pollution in Jiulong River estuary: Source, distribution and bacterial resistance

Chemosphere (Oxford), 2011-09, Vol.84 (11), p.1677-1685

2011

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Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map

Engineering (Beijing, China), 2019-08, Vol.5 (4), p.730-735

2019

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Optimization of the processing technology of schizonepetae herba carbonisata using response surface methodology and artificial neural network and comparing the chemical profiles between raw and charred schizonepetae herba by UPLC-Q-TOF-MS

Heliyon, 2023-02, Vol.9 (2), p.e13398-e13398, Article e13398

2023

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FEM-Cluster based reduction method for efficient numerical prediction of effective properties of heterogeneous material in nonlinear range

Computer methods in applied mechanics and engineering, 2019-05, Vol.348, p.157-184

2019

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Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

Computer methods in applied mechanics and engineering, 2021-01, Vol.373, p.113452, Article 113452

2021

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A data-driven self-consistent clustering analysis for the progressive damage behavior of 3D braided composites

Composite structures, 2020-10, Vol.249, p.112471, Article 112471

2020

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Stealth dicing of 1-mm-thick glass with aberration-free axial multi-focus beams

Optics letters, 2022-06, Vol.47 (12), p.3003-3006

2022

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Modulation of high-quality internal multifoci based on modified three-dimensional Fourier transform

Optics letters, 2023-02, Vol.48 (4), p.900-903

2023

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Mechanistic Concurrent Nested Topology Design Theory for Advanced Materials Systems

Li, Hengyang

2023

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Self-consistent Clustering Analysis-Based Moving Morphable Component (SMMC) Method for Multiscale Topology Optimization

Acta mechanica solida Sinica, 2023-12, Vol.36 (6), p.884-898

2023

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Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction

Computer methods in applied mechanics and engineering, 2021-02, Vol.374, p.113590, Article 113590

2021

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Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition

Computational mechanics, 2023-08, Vol.72 (2), p.363

2023

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Gradient-based strategy of designing cascaded phase holograms for arbitrary distribution behind arbitrary aperture

Optics and laser technology, 2025-01, Vol.180, p.111489, Article 111489

2025

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Concurrent n-scale modeling for non-orthogonal woven composite

Computational mechanics, 2022-10, Vol.70 (4), p.853-866

2022

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Convolution Hierarchical Deep-learning Neural Networks

Computational mechanics, 2023-08, Vol.72 (2), p.333

2023

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Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization

Computational mechanics, 2023-08, Vol.72 (2), p.363-382

2023

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On predicting the effective elastic properties of polymer nanocomposites by novel numerical implementation of asymptotic homogenization method

Composite structures, 2016-01, Vol.135, p.297-305

2016

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Centralizers in graph products of semigroups

Nanopore Creation in Graphene by Ion Beam Irradiation: Geometry, Quality, and Efficiency

Hierarchical deep-learning neural networks: finite elements and beyond

Clustering discretization methods for generation of material performance databases in machine learning and design optimization

A general phase-modulating solution for generating optical array with arbitrary dimensions via mapping space

Exploration of chemical components and metabolite synthesis pathways in eight Ephedra species based on HS-GC-MS and UPLC-Q-TOF-MS

Exploring Antioxidant and α-Glucosidase Inhibitory Activities in Mulberry Leaves ( Morus alba L.) across Growth Stages: A Comprehensive Metabolomic Analysis with Chemometrics

Molecular Networking, Network Pharmacology, and Molecular Docking Approaches Employed to Investigate the Changes in Ephedrae Herba before and after Honey-Processing

Antibiotics pollution in Jiulong River estuary: Source, distribution and bacterial resistance

Data-Driven Microstructure and Microhardness Design in Additive Manufacturing Using a Self-Organizing Map

Optimization of the processing technology of schizonepetae herba carbonisata using response surface methodology and artificial neural network and comparing the chemical profiles between raw and charred schizonepetae herba by UPLC-Q-TOF-MS

FEM-Cluster based reduction method for efficient numerical prediction of effective properties of heterogeneous material in nonlinear range

Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering

A data-driven self-consistent clustering analysis for the progressive damage behavior of 3D braided composites

Stealth dicing of 1-mm-thick glass with aberration-free axial multi-focus beams

Modulation of high-quality internal multifoci based on modified three-dimensional Fourier transform

Mechanistic Concurrent Nested Topology Design Theory for Advanced Materials Systems

Self-consistent Clustering Analysis-Based Moving Morphable Component (SMMC) Method for Multiscale Topology Optimization

Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction

Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition

Gradient-based strategy of designing cascaded phase holograms for arbitrary distribution behind arbitrary aperture

Concurrent n-scale modeling for non-orthogonal woven composite

Convolution Hierarchical Deep-learning Neural Networks

Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimization

On predicting the effective elastic properties of polymer nanocomposites by novel numerical implementation of asymptotic homogenization method

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