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Development of Phase-Field Modeling in Materials science in China:A Review

Acta Metallurgica Sinica(English Letters) 2023年第11期36卷 1749-1775页

作者： Yuhong Zhao Hui Xing Lijun Zhang Houbing Huang Dongke Sun Xianglei Dong Yongxing Shen Jincheng Wang Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing100083China MOE Key Laboratory of Material Physics and Chemistry Under Extraordinary Shaanxi Basic Discipline(Liquid Physics)Research CenterNorthwestern Polytechnical UniversityXi’an710129China State Key Laboratory of Powder Metallurgy Central South UniversityChangsha410083China School of Materials Science and Engineering Beijing Institute of TechnologyBeijing100081China Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical EngineeringSoutheast UniversityNanjing211189China School of Materials Science and Engineering Zhengzhou UniversityZhengzhou450001China University of Michigan-Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong UniversityShanghai200240China State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an710072China School of Materials Science and Engineering Collaborative Innovation Center of Ministry of Education and Shanxi Province for High-Performance Al/Mg Alloy MaterialsNorth University of ChinaTaiyuan030051China Institute of Materials Intelligent Technology Liaoning Academy of MaterialsShenyang110004China

Phase-field method,as a powerful and popular approach to predict the mesoscale microstructure evolution in various materials science,provides a bridge from atomic-scale methods to the macroscale and has been widely used at an ever-increasing *** paper aims to briefly review the origin,basic idea,and development of phase-field models in a historical *** focus is placed on the classical and state-of-the-art applications in China,including liquid–solid,solid–solid,gas–solid,ferroelectrics/ferromagnetics phase transformation,and crack *** introducing the academic activities in the phase-field community in China,some suggestions for the future development directions of phase-field method are finally mentioned.

关键词： Phase-field method Microstructure Phase transformation Various materials design

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UNADJUSTED LANGEVIN ALGORITHMS FOR SDES WITH HÖLDER DRIFT

arXiv

引用

arXiv 2023年

作者： Li, Xiang Wang, Feng-Yu Xu, Lihu Department of Mathematics Faculty of Science and Technology University of Macau China Zhuhai Um Science & Technology Research Institute Zhuhai China Center for Applied Mathematics Tianjin University Tianjin300072 China

Consider the following stochastic differential equation for (Xt)t≥0 on Rd and its Euler-Maruyama (EM) approximation (Ytn)n∈Z+: dXt = b(Xt)dt + σ(Xt)dBt, Ytn+1 = Ytn + ηn+1b(Ytn) + σ(Ytn) (Btn+1 − Btn ) , where b: Rd 7→ Rd, σ: Rd → Rd×d are measurable, Bt is the d-dimensional Brownian motion, t0 := 0, tn := Pnk=1 ηk for constants ηk > 0 satisfying limk→∞ ηk = 0 and P∞k=1 ηk = ∞. Under (partial) dissipation conditions ensuring the ergodicity, we obtain explicit convergence rates of Wp(L (Ytn), L (Xtn)) + Wp(L (Ytn), µ) → 0 as n → ∞, where Wp is the Lp-Wasserstein distance for certain p ∈ [0, ∞), L (ξ) is the distribution of random variable ξ, and µ is the unique invariant probability measure of (Xt)t≥0. Comparing with the existing results where b is at least C2-smooth, our estimates apply to Hölder continuous drift and can be sharp in several specific situations. Copyright © 2023, The Authors. All rights reserved.

关键词： Brownian movement

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Waste asphalt derived hierarchically porous carbon for high-performance electrocatalytic hydrogen gas capacitors

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International Journal of Minerals,Metallurgy and Materials 2025年第6期32卷 1461-1470页

作者： Touqeer Ahmad Zhengxin Zhu Muhammad Sajid Weiping Wang Yirui Ma Mohsin Ali Nawab Ali Khan Shuang Liu Zuodong Zhang Wei Chen Department of Applied Chemistry School of Chemistry and Materials ScienceHefei National Research Center for Physical Sciences at the MicroscaleUniversity of Science and Technology of China

Along with the surging demand for energy storage devices, the cost and availability of the materials remain dominant factors in slowing down their industrial application. The repurposing of waste asphalt into high-performance electrode materials is of significant interest, as it holds the potential to circumvent energy and environmental issues. Here, we report the controllable synthesis of asphalt-derived mesoporous carbon as an active material for electrocatalytic hydrogen gas capacitor（EHGC）. The hierarchically porous carbon（HPC） with a high surface area of 1943.4 m2·g-1can operate in pH universal aqueous electrolytes in EHGC. It displays a specific energy and power density of 57 Wh·kg-1and 554 W·kg-1in neutral electrolyte as well as 52 Wh·kg-1and 657 W·kg-1in acidic electrolyte. Additionally, the charge storage mechanism of HPC–EHGC is studied with the help of Raman spectroscopy and X-ray photoelectron spectroscopy. Furthermore, the assembled HPC–EHGC device displays a discharge capacitance of 170 F·g-1with an excellent capacitance retention rate of 100% up to 20000 cycles at 10 A·g-1in acidic electrolyte. This work introduces a novel approach to converting waste asphalt into high-performance carbon for EHGC, achieving superior performance over commercial materials. By simultaneously addressing environmental waste issues and advancing energy storage technology, this study makes a significant contribution to sustainable materials science and next-generation battery development.

关键词： asphalt hierarchically porous carbon hydrogen gas pH universal electrolyte electrocatalytic hydrogen gas capacitor

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Ultra-compact on-chip camera based on optoelectronic compound eyes with nonuniform ommatidia

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International Journal of Extreme Manufacturing 2025年第1期7卷 543-553页

作者： Lin Zhu Yu-Qing Liu Jia-Yi Wan Zhi-Juan Sun Dong-Dong Han Qi-Dai Chen Yong-Lai Zhang State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchunPeople’s Republic of China Zhejiang Laboratory HangzhouPeople’s Republic of China Center for Advanced Optoelectronic Functional Materials Research and Key Laboratory for UV Emitting Materials and Technology of Ministry of EducationNational Demonstration Center for Experimental Physics EducationNortheast Normal UniversityChangchunPeople’s Republic of China

Compound eyes(CEs)that feature ultra-compact structures and extraordinary versatility have revealed great potential for cutting-edge ***,the optoelectronic integration of CEs with available photodetectors is still challenging because the planar charge-coupled device(CCD)/complementary metal oxide semiconductor(CMOS)detector cannot match the spatially distributed images formed by CE *** reach this end,we report here the optoelectronic integration of CEs by manufacturing 3D nonuniform ommatidia for developing an ultra-compact on-chip *** a proof-of-concept,we fabricated microscale CEs with uniform and nonuniform ommatidia through femtosecond laser two-photon photopolymerization,and compared their focusing/imaging performance both theoretically and *** engineering the surface profiles of the ommatidia at different positions of the CE,the images formed by all the ommatidia can be tuned on a *** this way,the nonuniform CE can be directly integrated with a commercial CMOS photodetector,forming an ultra-compact CE ***,we further combine the CE camera with a microfluidic chip,which can further serve as an on-chip microscopic monitoring *** anticipate that such an ultra-compact CE camera may find broad applications in microfluidics,robotics,and micro-optics.

关键词： artificial compound eyes two-photon photopolymerization optical electronic integration

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Narrow-bandwidth emissive carbon dots:A rising star in the fluorescent material family

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Carbon Energy 2022年第1期4卷 88-114页

作者： Biao Zhao Huanyu Ma Mengyun Zheng Kunxiang Xu Chao Zou Songnan Qu Zhan'ao Tan State Key Laboratory of Organic-Inorganic Composites Beijing Advanced Innovation Center for Soft Matter Science and EngineeringBeijing University of Chemical TechnologyBeijingChina College of Chemistry and Materials Engineering Wenzhou UniversityWenzhouChina Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials EngineeringUniversity of MacaoAvenida da UniversidadeMacaoChina

Fluorescent carbon dots(CDs)have recently become a research hotspot in multidisciplinary fields owing to their distinctive advantages,including outstanding photoluminescence properties,high biocompatibility,low toxicity,and abundant raw *** the promising CDs,narrow‐bandwidth emissive CDs with high color purity have emerged as a rising star in recent years because of their significant potential applications in bioimaging,information sensing,and photoelectric *** this review,the state-of-the-art advances of narrow-bandwidth emissive CDs are systematically summarized,and the factors influencing the emission bandwidth,preparation methods,and applications of narrow-bandwidth emissive CDs are described in ***,existing challenges and future perspectives for achieving high-performance narrow-bandwidth emissive CDs are also *** overview paper is expected to generate more interest and promote the rapid development of this significant research area.

关键词： fluorescent nanomaterials high color purity narrow‐bandwidth emissive carbon dots

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Transformation One-Dimensional Photonic Crystal Omnidirectional Reflector

SSRN

引用

SSRN 2023年

作者： Shen-Yun, Wang Mei, Yong Wang, Hao-Zhi School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing210044 China Research Center of Applied Electromagnetics Nanjing University of Information Science and Technology Nanjing210044 China

In this paper, a concept of transformation one-dimensional photonic crystal is proposed to design omnidirectional reflector, which has a reduced thickness compared with that of the omnidirectional reflector using conventional one-dimensional photonic crystal structure. At first, the omnidirectional reflection band of an original one-dimensional photonic crystal is simulated using the transfer matrix method for comparison. Next, the transformation one-dimensional photonic crystal is designed based on transformation optics. Simulation results indicate that the transformation one-dimensional photonic crystal structures with arbitrary shrunken thickness can omnidirectionally reflect the incident TE waves that operates in the same omnidirectional reflection band of the original one-dimensional photonic crystal structure. Such a concept of transformation one-dimensional photonic crystal also can be expanded to any omnidirectional reflector designed by using other multilayer dielectric systems. © 2023, The Authors. All rights reserved.

关键词： Transfer matrix method

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TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes

arXiv

引用

arXiv 2024年

作者： Meng, Zizhuo Li, Boyu Fan, Xuhui Li, Zhidong Wang, Yang Chen, Fang Zhou, Feng Data Science Institute University of Technology Sydney Australia School of Computing Macquarie University Australia Center for Applied Statistics School of Statistics Renmin University of China China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing China

The classical temporal point process (TPP) constructs an intensity function by taking the occurrence times into account. Nevertheless, occurrence time may not be the only relevant factor, other contextual data, termed covariates, may also impact the event evolution. Incorporating such covariates into the model is beneficial, while distinguishing their relevance to the event dynamics is of great practical significance. In this work, we propose a Transformer-based covariate temporal point process (TransFeat-TPP) model to improve the interpretability of deep covariate-TPPs while maintaining powerful expressiveness. TransFeat-TPP can effectively model complex relationships between events and covariates, and provide enhanced interpretability by discerning the importance of various covariates. Experimental results on synthetic and real datasets demonstrate improved prediction accuracy and consistently interpretable feature importance when compared to existing deep covariate-TPPs. Copyright © 2024, The Authors. All rights reserved.

关键词： Spatio-temporal data

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Intelligent Firefly Algorithm Deep Transfer Learning Based COVID-19 Monitoring System

引用

Computers, Materials & Continua 2023年第2期74卷 2889-2903页

作者： Mahmoud Ragab Mohammed W.Al-Rabia Sami Saeed Binyamin Ahmed A.Aldarmahi Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Centre for Artificial Intelligence in Precision Medicines King Abdulaziz UniversityJeddah 21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt Department of Medical Microbiology and Parasitology Faculty of MedicineKing Abdulaziz UniversityJeddah 21589Saudi Arabia Health Promotion Center King Abdulaziz UniversityJeddah 21589Saudi Arabia Computer and Information Technology Department The Applied CollegeKing Abdulaziz UniversityJeddah 21589Saudi Arabia Basic Science Department College of Science and Health ProfessionsKing Saud Bin Abdulaziz University for Health SciencesJeddah 21423Saudi Arabia King Abdullah International Medical Research Center Ministry of National Guard-Health AffairsJeddah 21423Saudi Arabia

With the increasing and rapid growth rate of COVID-19 cases,the healthcare scheme of several developed countries have reached the point of *** important and critical steps in fighting against COVID-19 is powerful screening of diseased patients,in such a way that positive patient can be treated and isolated.A chest radiology image-based diagnosis scheme might have several benefits over traditional *** accomplishment of artificial intelligence(AI)based techniques in automated diagnoses in the healthcare sector and rapid increase in COVID-19 cases have demanded the requirement of AI based automated diagnosis and recognition *** study develops an Intelligent Firefly Algorithm Deep Transfer Learning Based COVID-19Monitoring System(IFFA-DTLMS).The proposed IFFADTLMSmodelmajorly aims at identifying and categorizing the occurrence of COVID19 on chest *** attain this,the presented IFFA-DTLMS model primarily applies densely connected networks(DenseNet121)model to generate a collection of feature *** addition,the firefly algorithm(FFA)is applied for the hyper parameter optimization of DenseNet121 ***,autoencoder-long short term memory(AE-LSTM)model is exploited for the classification and identification of *** ensuring the enhanced performance of the IFFA-DTLMS model,a wide-ranging experiments were performed and the results are reviewed under distinctive *** experimental value reports the betterment of IFFA-DTLMS model over recent approaches.

关键词： COVID-19 artificial intelligence intelligent systems deep learning decision making

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Feasibility study of Raman spectroscopy in corneal stromal tissue of human myopic eye

Feasibility study of Raman spectroscopy in corneal stromal t...

引用

advanced Chemical Microscopy for Life science and Translational Medicine 2023

作者： Han, Ming Li, Jing Wang, Nan Liu, Rui Li, Yong Li, Juan Zeng, Qi Chen, Xueli Biomedical-Photonics and Molecular Imaging Laboratory School of Life Science and Technology Xidian University Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Shaanxi Xi'an710126 China Xi’an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment School of Life Science and Technology Xidian University Shaanxi Xi’an710126 China Affiliated Guangren Hospital School of Medicine Xi’an Jiaotong University Shaanxi Xi’an710126 China

ISBN: (纸本)9781510658899

Myopia, a global public health problem, is recognized by the World Health Organization as the leading cause of visual impairment in uncorrected people. At present, a large number of reports focus on the pathological manifestations of retinal level myopia. However, corneal histological changes that may be associated with myopia have not been thoroughly investigated. Raman spectroscopy is a rapid and non-destructive analytical technique with the advantages including label-free, non-invasive and highly specific, providing detailed information at the molecular level. Important components of all the human tissue (proteins, nucleic acids, lipids, etc.) have corresponding Raman spectral characteristic peaks, which contribute to the study of myopia at the molecular level. In this study, a microscopic confocal Raman system (MCRS) was built to collect Raman spectrum of corneal stromal samples, which was obtained through femtosecond laser small incision corneal stroma lens extraction (SMLIE). 159 corneal stromal Raman spectrum data were collected (54 low myopia, 69 moderate myopia and 36 high myopia). 10 characteristic peaks and corresponding components were further identified. K-nearest neighbor (KNN) was used with principal component analysis (PCA) to classify the samples and the classifications were validated by k-fold cross-validation. Three types of samples with different degrees of myopia were differentiated under the PCA-KNN model with an accuracy of 93.1%. Two characteristic peaks (1099cm-1 and 2940cm-1) show greatly contribution to the classification results. The results provide that Raman spectroscopy combined with PCA-KNN analysis can effectively distinguish the degree of myopia and is expected to explore the potential causes of myopia. © 2023 SPIE.

关键词： Principal component analysis

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First-Principles Calculations On the Structural, Elastic and Electronic Properties of Different Structural TiN

SSRN

引用

SSRN 2025年

作者： Li, Cheng Ma, Lishi Liu, Liang Yi, Jianhong Li, Caiju Kong, Xin Chen, Xiaofeng Xu, Zunyan Faculty of Materials Science and Engineering Kunming University of Science and Technology Kunming650093 China Key Laboratory of Advanced Materials of Yunnan Province Kunming650093 China Faculty of Material Science and Engineering Yunnan Key Laboratory of Integrated Computational Materials Engineering for Advanced Light Alloys Kunming University of Science and Technology Kunming650093 China Yunnan Engineering Research Center of Metallic Powder Materials Kunming University of Science and Technology Kunming650093 China

The phase stability, elastic properties, tensile strength, electronic properties, and thermal properties of TiN nitride with different structures were investigated based on the first-principles calculation. Formation enthalpy was performed to evaluate the phase stability of TiN, which showed that TiN exhibits energy stability, with the order of phase stability as follows: B1 > B2 > B3. Systematic studies of the elastic properties of TiN reveal that TiN nitrides are anisotropic, with the B3 phase having the highest ideal tensile strength in the [010] direction. Additionally, considering the Cauchy pressure (PC), Poisson's ratio (ν) and GH/BH, the B1 phase is identified as brittle while the others are ductile. The minimum thermal conductivity calculated from the Clarke and Cahill models shows an anisotropy of the order B3 > B2 > B1. © 2025, The Authors. All rights reserved.

关键词： Poisson ratio

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