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Multiregion full-waveform inversion for ground-penetrating radar common-offset data

Geophysics 2025年第3期90卷 B121-B130页

作者： Hu, Rong Li, Jing Liu, Hui Jilin University College of Geo-exploration Science and Technology Changchun China Key Laboratory of Earth Information Detection Instruments Ministry of Education Changchun China

Ground-penetrating radar full-waveform inversion (GPR-FWI) is a high-resolution inversion technique that quantitatively estimates the subsurface physical parameters (permittivity and conductivity) by matching waveform amplitude and phase. However, the requirement to meet stability conditions forces the grid dimensions during wave propagation to be at the centimeter level, resulting in significant memory usage when discretizing the full radar wavefield. This makes it challenging to apply the FWI method on large-scale 2D or 3D GPR data sets. Furthermore, most commercial GPR systems record common-offset gathers (COG), so most GPR field data do not need to calculate the full model-space wavefield during the FWI iteration procedure. This work develops a multiregion full-waveform inversion approach (MR-FWI) for common-offset GPR data. The core strategy is to divide the model space into multiple grid regions and dynamically adjust these grids according to the requirements. By focusing on a given spatial range of the wavefield and model gradient, the computational steps are optimized, significantly reducing memory consumption and computational cost. A synthetic model and two field GPR data examples validate that the multiregion strategy can reduce the computational burden without sacrificing inversion accuracy. Our MR-FWI is particularly suitable for limited computing resources and large-scale data sets, which provides a robust and high-resolution approach for most field common-offset GPR applications. © 2025 Society of Exploration Geophysicists. All rights reserved.

关键词： Geological surveys

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Predesigned covalent organic framework with sulfur coordination: Anchoring Au nanoparticles for sensitive colorimetric detection of Hg(Ⅱ)

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Chinese Chemical Letters 2024年第5期35卷 392-396页

作者： Guorong Li Yijing Wu Chao Zhong Yixin Yang Zian Lin Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food SafetyCollege of ChemistryFuzhou UniversityFuzhou 350108China

Targeted construction of new covalent organic frameworks(COFs)with specific purposes and rationalities to build colorimetric assay platform for environmental pollutant monitoring have attracted increasing ***,it is still challenging due to lack of available coordination sites inside COFs pores and only a slight bonding ability for anchoring *** this work,a two-dimensional(2D)COFs(termed as Tz-COF)with high crystallinity,excellent chemical stability,and abundant sulfur coordination in its skeletons was synthesized and used for the confined growth of Au *** was found that the Au NPs showed significant dispersibility for the support of *** proposed Tz-COF@Au NPs possessed outstanding Hg^(2+)-activated peroxidase-like activity benefited from physicochemical properties of gold amalgam and synergistic effect between COFs and Au NPs to oxidize chromogenic *** on highly efficient activity and distinctive color evolution,the strategy for detecting Hg^(2+)was developed and successfully applied to determine the content of Hg^(2+)in real environmental *** work manifests that a potential strategy to establish a colorimetric assay platform for environmental pollutant monitoring based on the targeted manufacturing of novel COFs with specific functions.

关键词： Covalent organic frameworks Thiazole Sulfur coordination Au nanoparticles Hg^(2+)-activated peroxidase-like activity

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Data-driven rational design of single-atom materials for hydrogen evolution and sensing

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Nano Research 2024年第4期17卷 3352-3358页

作者： Lei Zhou Pengfei Tian Bowei Zhang Fu-Zhen Xuan Shanghai Key Laboratory of Intelligent Sensing and Detection Technology East China University of Science and TechnologyShanghai 200237China School of Mechanical and Power Engineering East China University of Science and TechnologyShanghai 200237China Key Laboratory of Pressure Systems and Safety of Ministry of Education East China University of Science and TechnologyShanghai 200237China

Herein we proposed a data-driven high-throughput principle to screen high-performance single-atom materials for hydrogen evolution reaction(HER)and hydrogen sensing by combing the theoretical computations and a topology-based multi-scale convolution kernel machine learning *** the rational training by 25 groups of data and prediction of all 168 groups of single-atom materials for HER and sensing,respectively,a high prediction accuracy(>0.931 R^(2) score)was achieved by our *** show that the promising HER catalysts include Pt atoms in C_(4) and Sc atoms in C_(1)N_(3) coordination ***,Y atoms in C_(4) coordination environment and Cd atoms in C_(2)N_(2)-ortho coordination environment were predicted with great potential as hydrogen sensing *** method provides a way to accelerate the discovery of innovative materials by avoiding the time-consuming empirical principles in experiments.

关键词： machine learning single-atom materials sensing hydrogen evolution

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Accurate atomic scanning transmission electron microscopy analysis enabled by deep learning

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Nano Research 2024年第4期17卷 2971-2980页

作者： Tianshu Chu Lei Zhou Bowei Zhang Fu-Zhen Xuan Shanghai Key Laboratory of Intelligent Sensing and Detection Technology East China University of Science and TechnologyShanghai 200237China School of Mechanical and Power Engineering East China University of Science and TechnologyShanghai 200237China Key Laboratory of Pressure Systems and Safety of Ministry of Education East China University of Science and TechnologyShanghai 200237China

Currently,the machine learning(ML)-based scanning transmission electron microscopy(STEM)analysis is limited in the simulative stage,its application in experimental STEM is needed but ***,we built up a universal model to analyze the vacancy defects and single atoms accurately and rapidly in experimental STEM images using a full convolution *** our model,the unavoidable interference factors of noise,aberration,and carbon contamination were fully considered during the training,which were difficult to be considered in the *** toward the simultaneous identification of various vacancy types and low-contrast single atoms in the low-quality STEM images,our model showed rapid process speed(45 images per second)and high accuracy(>95%).This work represents an improvement in experimental STEM image analysis by ML.

关键词： deep learning low-dimensional materials atomic defects single atoms

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Elastic-Wave Reverse Time Migration Random Boundary-Noise Suppression Based on CycleGAN

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Journal of Ocean University of China 2022年第4期21卷 849-860页

作者： XU Guohao HE Bingshou Key Laboratory of the Ministry of Education for Seafloor Science and Detection Technology Ocean University of ChinaQingdao 266100China Functional Laboratory of Marine Mineral Resources Evaluation and Exploration Technology Qingdao National Laboratoryof Marine Science and TechnologyQingdao 266100China

In elastic-wave reverse-time migration(ERTM),the reverse-time reconstruction of source wavefield takes advantage of the computing power of GPU,avoids its disadvantages in disk-access efficiency and reading and writing of temporary files,and realizes the synchronous extrapolation of source and receiver *** the existing source wavefield reverse-time reconstruction algorithms,the random boundary algorithm has been widely used in three-dimensional(3D)ERTM because it requires the least storage of temporary files and low-frequency disk access during reverse-time ***,the existing random boundary algorithm cannot completely destroy the coherence of the artificial boundary reflected *** random boundary reflected wavefield with a strong coherence would be enhanced in the cross-correlation image processing of reverse-time migration,resulting in noise and fictitious image in the migration results,which will reduce the signal-to-noise ratio and resolution of the migration section near the *** overcome the above issues,we present an ERTM random boundary-noise suppression method based on generative adversarial ***,we use the Resnet network to construct the generator of CycleGAN,and the discriminator is constructed by using the PatchGAN ***,we use the gradient descent methods to train the *** fix some parameters,update the other parameters,and iterate,alternate,and continuously optimize the generator and discriminator to achieve the Nash equilibrium state and obtain the best network ***,we apply this network to the process of reverse-time *** snapshot of noisy wavefield is regarded as a 2D matrix data picture,which is used for training,testing,noise suppression,and *** method can identify the reflected signal in the wavefield,suppress the noise generated by the random boundary,and achieve *** examples show that the proposed method can significantly improve the i

关键词： random boundary reverse-time migration generative adversarial network noise suppression

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Single-atom Ni-N_(4) for enhanced electrochemical sensing

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Nano Research 2024年第8期17卷 7658-7664页

作者： Zhuhui Qin Bo Tang Guiru Zhang Chongqing Zhu Kun Jiang Bowei Zhang Fu-Zhen Xuan Shanghai Key Laboratory of Intelligent Sensing and Detection Technology East China University of Science and TechnologyShanghai 200237China Key Laboratory of Pressure Systems and Safety of Ministry of Education East China University of Science and TechnologyShanghai 200237China School of Mechanical and Power Engineering East China University of Science and TechnologyShanghai 200237China Key Laboratory of Theoretical and Computational Photochemistry Ministry of EducationCollege of ChemistryBeijing Normal UniversityBeijing 100875China Interdisciplinary Research Center School of Mechanical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

Single-atom catalysts(SACs)attract widespread attention in heterogeneous catalysis due to their maximum atomic utilization efficiency and unique physical and chemical ***,their applications in chemical sensing keep huge potential but remain ***,a Ni-N_(4)-C SAC was synthesized for the trace detection of dopamine(DA)and uric acid(UA).The Ni-N_(4)-C SAC exhibited superior sensing performance compared to the Ni *** detection range for DA and UA were 0.05–75μM and 5–90μM with detection limits of 0.027 and 0.82μM,*** functional theory(DFT)computations indicate that Ni-N_(4)-C has a lower reaction barrier during electrochemical process,indicating that the atomic Ni sites possess higher intrinsic activity than Ni ***,DA and UA show strong potential dependency on the Ni-N_(4)-C catalyst,indicating its applicability for their concurrent *** work extends the application of SACs in chemical sensing.

关键词： single-atom catalysts chemical sensing dopamine uric acid

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A Method for Reducing Ocean Wave-Induced Magnetic Noises in Shallow-Water MT Data Using a Complex Adaptive Filter

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Journal of Ocean University of China 2023年第1期22卷 99-106页

作者： WU Yunju LUO Ming LI Yuguo GE Jiaqi PAN Lindong College of Marine Geoscience and Key Laboratory of Submarine Geosciences and Prospecting TechniquesMinistry of EducationOcean University of ChinaQingdao 266100China Evaluation and Detection Technology Laboratory of Marine Mineral Resources Qingdao National Laboratory for Marine Science and TechnologyQingdao 266237China

In shallow-water areas,the marine magnetotelluric(MT)method faces a challenge in the investigation of seabed conductivity structures due to electrical and magnetic noises induced by ocean waves,which seriously contaminate MT *** waves can affect electric and magnetic fields to different *** general,their influence on magnetic fields is considerably greater than that on electric *** this paper,a complex adaptive filter is adopted to reduce wave-induced magnetic noises in the frequency *** processing results of synthetic and measured MT data indicate that the proposed method can effectively reduce wave-induced magnetic noises and provide reliable apparent resistivity and phase data.

关键词： shallow-water areas wave-induced magnetic noises complex adaptive filter MT data processing

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Spatial metabolomics reveal metabolic alternations in the injured mice kidneys induced by triclocarban treatment

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Journal of Pharmaceutical Analysis 2024年第11期14卷 1686-1694页

作者： Peisi Xie Jing Chen Yongjun Xia Zian Lin Yu He Zongwei Cai Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food SafetyCollege of ChemistryFuzhou UniversityFuzhou350116China State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong Kong SAR999077China Shanghai Engineering Research Center of Food Microbiology School of Health Science and EngineeringUniversity of Shanghai for Science and TechnologyShanghai200093China

Triclocarban(TCC)is a common antimicrobial agent that has been widely used in medical *** the close association between TCC treatment and metabolic disorders,we assessed whether long-term treatment to TCC at a human-relevant concentration could induce nephrotoxicity by disrupting the metabolic levels in a mouse ***-assisted laser desorption/ionization mass spectrometry imaging(MALDI-MSI)was applied to investigate the alterations in the spatial distributions and abundances of TCC,endogenous and exogenous metabolites in the kidney after TCC *** results showed that TCC treatment induced the changes in the organ weight,organ coefficient and histopathology of the mouse *** data revealed that TCC accumulated in all regions of the kidney,while its five metabolites mainly distributed in the cortex *** abundances of 79 biomolecules associated with pathways of leukotriene E4 metabolism,biosynthesis and degradation of glycerophospholipids and glycerolipids,ceramide-to-sphingomyelin signaling were significantly altered in the kidney after TCC *** biomolecules showed distinctive distributions in the kidney and displayed a favorable spatial correlation with the pathological *** work offers new insights into the related mechanisms of TCC-induced nephrotocicity and exhibits the potential of MALDI-MSI-based spatial metabolomics as a promising approach for the risk assessment of agents in medical care.

关键词： Triclocarban Nephrotoxicity Spatial metabolomics MALDI mass spectrometry imaging

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Application of shifted lattice model to 3D compressible lattice Boltzmann method

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Chinese Physics B 2023年第9期32卷 312-320页

作者：黄好雨金科李凯郑晓静 School of Aerospace Science and Technology Xidian UniversityXi'an 710071China School of Mechano-Electronic Engineering Xidian UniversityXi'an 710071China Shaanxi Key Laboratory of Space Extreme Detection Xi'an 710071China Key Laboratory of Equipment Efficiency in Extreme Environment Ministry of EducationXi'an 710071China

An additional potential energy distribution function is introduced on the basis of previous D3Q25 model,and the equilibrium distribution function of D3Q25 is obtained by spherical function.A novel three-dimensional(3D)shifted lattice model is proposed,therefore a shifted lattice model is introduced into *** the finite volume scheme,several typical compressible calculation examples are used to verify whether the numerical stability of the D3Q25 model can be improved by adding the shifted lattice *** simulation results show that the numerical stability is indeed improved after adding the shifted lattice model.

关键词： lattice Boltzmann method shifted lattice model compressible flow finite volume method

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Utilization of hydralazine as a reactive matrix for enhanced detection and on-MALDI-target derivatization of saccharides

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Chinese Chemical Letters 2024年第5期35卷 386-391页

作者： Dan Ouyang Huan Huang Yanting He Jiajing Chen Jiali Lin Zhuling Chen Zongwei Cai Zian Lin Ministry of Education Key Laboratory of Analytical Science for Food Safety and Biology Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food SafetyCollege of ChemistryFuzhou UniversityFuzhou 350108China School of Pharmacy Bengbu Medical UniversityBengbu 233000China Partner State Key Laboratory of Environmental and Biological Analysis Department of ChemistryHong Kong Baptist UniversityHong KongChina

Saccharides are a sort of ubiquitous and vital molecules within the whole ***,the application of saccharides analysis with matrix-assisted laser desorption/ionization mass spectrometry(MALDI-MS)is restricted by their low ionization efficiency and the instability of the sialic acid *** strategy based on nonreductive amination provides a good solution,however,this is often time consuming and may result in sample loss due to removal of excessive derivatization ***,hydralazine(HZN)was utilized as a reactive matrix for labeling reducing saccharides directly on MALDI target which eliminated tedious sample preparation and avoided sample *** optimization,effective and reproducible on-MALDI-target derivatization of neutral and acidic saccharides was achieved in both positive and negative *** with 2,5-dihydroxybenzoic acid(DHB)and 9-aminoacridine(9-AA),HZN improved the detection sensitivity of reducing saccharides and provided more abundant fragment ions in MS/MS ***,26 kinds of neutral glycans and 5 kinds of sialic glycans were identified from ovalbumin(OVA)and bovine fetuin,*** with the statistical models,this strategy could be used to distinguish and predict samples of 6 brands of beer,and discriminate 2 kinds of beer fermentation *** addition,HZN was applied for quantitative analysis of glucose in urine samples,and the obtained urine glucose concentrations of diabetic patients were consistent with the clinical test results,showing the potential of qualitative and quantitative analysis of reducing saccharides in complex samples.

关键词： Hydralazine Reactive matrix On-MALDI-target derivatization Saccharides

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