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A hybrid physics-informed data-driven neural network for CO_(2) storage in depleted shale reservoirs

Petroleum Science 2024年第1期21卷 286-301页

作者： Yan-wei Wang Zhen-xue Dai Gui-sheng Wang Li Chen yu-zhou xia yu-Hao zhou College of Construction Engineering Jilin UniversityChangchun130026JilinChina Institute of Intelligent Simulation and Early Warning for Subsurface Environment Jilin UniversityChangchun130026JilinChina School of Energy Resources China University of GeosciencesBeijing100083China Department of Safety Environmental Protection and Quality ManagementShengli OilfieldSinopecDongying257000ShandongChina Key Laboratory of Thermo-Fluid Science and Engineering of MOE School of Energy and Power EngineeringXi'an Jiaotong UniversityXi'an710049ShaanxiChina College of Computer Science and Technology China University of Petroleum(East China)Qingdao266580ShandongChina Department of Physics University of FribourgFribourg1700Switzerland

To reduce CO_(2) emissions in response to global climate change,shale reservoirs could be ideal candidates for long-term carbon geo-sequestration involving multi-scale transport ***,most current CO_(2) sequestration models do not adequately consider multiple transport ***,the evaluation of CO_(2) storage processes usually involves laborious and time-consuming numerical simulations unsuitable for practical prediction and *** this paper,an integrated model involving gas diffusion,adsorption,dissolution,slip flow,and Darcy flow is proposed to accurately characterize CO_(2) storage in depleted shale reservoirs,supporting the establishment of a training *** this basis,a hybrid physics-informed data-driven neural network(HPDNN)is developed as a deep learning surrogate for prediction and *** incorporating multiple sources of scientific knowledge,the HPDNN can be configured with limited simulation resources,significantly accelerating the forward and inversion ***,the HPDNN can more intelligently predict injection performance,precisely perform reservoir parameter inversion,and reasonably evaluate the CO_(2) storage capacity under complicated *** validation and test results demonstrate that the HPDNN can ensure high accuracy and strong robustness across an extensive applicability range when dealing with field data with multiple noise *** study has tremendous potential to replace traditional modeling tools for predicting and making decisions about CO_(2) storage projects in depleted shale reservoirs.

关键词： Deep learning Physics-informed data-driven neural network Depleted shale reservoirs CO_(2)storage Transport mechanisms

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"Solid-Liquid" Vitrimers Based on Dynamic Boronic Ester Networks

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Chinese Journal of Polymer Science 2021年第10期39卷 1292-1298,I0006页

作者： sheng Wang Lu-Lu xue xiao-Zhuang zhou Jia-xi Cui INM-Leibniz Institute for New Materials Campus D22 Saarbrucken 66123Germany Beijing National Laboratory for Molecular Sciences Key Laboratory of Polymer Chemistry and Physics of Ministry of EducationCollege of Chemistry and Molecular EngineeringPeking UniversityBeijing 100871China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

The"solid-liquid"behavior of vitrimers have not been systematically ***,a series of"solid-liquid"vitrimers bearing varying contents of dynamic boronic ester bonds were synthesized via thiol-ene click *** vitrimers allow for flexibile modulation of their network structures and thus show a range of intriguing properties including high stretchability,flexible transition from elasticity to plasticity,strong strain rate dependence,and solid-liquid *** dynamic association rate of boronic ester bonds within these vitrimers could be apparently accelerated via increasing the content of boronic ester,which could be used to shape-program the flat vitrimer films into various complex 3D structures just with external *** with such versatile dynamic behavior may open up a range of new applications.

关键词： Solid-liquid Dynamic covalent bond Boronic ester bond Strain-rate dependent High stretchability

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Sperm pretreatment with glutathione improves IVF embryos development through increasing the viability and antioxidative capacity of sex-sorted and unsorted bull semen

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Journal of Integrative Agriculture 2016年第10期15卷 2326-2335页

作者： HU Ting-xi ZHU Hua-bin SUN wei-jun HAO Hai-sheng ZHAO xue-ming DU wei-hua WANG zong-li College of Animal Science and Technology Gansu Agricultural University Embryo Biotechnology and Reproduction Laboratory Institute of Animal Science Chinese Academy of Agricultural Sciences

The antioxidant of reduced glutathione（GSH） is the most abundant thiol in cells for the maintenance of the intracellular redox balance. The study aimed to assay the effect of sperm treatment with GSH before incubation with oocytes on the development potential of embryos obtained by in vitro fertilization（IVF）. Also the mitochondrial membrane potential（ΔΨm）, plasma membrane integrity（viability）, DNA fragmentation, reactive oxygen species（ROS） content, superoxide dismutase（SOD）, catalase（CAT） and glutathione peroxidase（GPx） activities, methane dicarboxylic aldehyde（MDA） level as indices of lipid peroxidation in sex-sorted and unsorted sperm from three bulls were investigated using flow cytometry and enzyme-labeled instrument individually. The results showed that 2 mm ol L^–1 GSH increased significantly the cleavage rate（86.68% vs. 82.78%）, 4- to 8-cell rate（82.30% vs. 73.43%） and blastocyst rate（43.15% vs. 35.24%） of IVF embryos compared with untreated group. Furthermore, addition of GSH increased significantly the ΔΨm and viability, decreased the ratio of DNA fragmentation in sex-sorted or unsorted semen（P〈0.05）, except the sex-sorted semen from bull 019. Similarly, activities of SOD, CAT and GPx were increased significantly. However, the contents of MDA were decreased significantly both in sex-sorted and unsorted semen treated with GSH（P〈0.05）. These results suggest that sperm pretreatment with GSH during IVF can maintain better the viability and fertility of sperm through reducing apoptosis and increasing the antioxidant capacity, which improves the IVF embryos development.

关键词： GSH apoptosis antioxidant enzymes unsorted semen sex-sorted semen

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DLM/FD SIMULATION OF CHANNEL FLOW WITH FENE POLYMER CHAIN SUSPENSION

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Journal of Hydrodynamics 2005年第6期17卷 677-680页

作者： SHAO xue-ming cheng xiao-yin yu Zhao-sheng Department of Mechanics State Key Laboratory of Fluid Power Transmisson and Control Zhejiang University Hangzhou 310027 China Institute of Textiles and Clothing. The Hongkong Polytechnic University Hongkong China Departmcnt of Mechanics Zhejiang University Hangzhou 310027 China

Distributed Lagrange Multiplier/Fictitious Domain （DLM/FD） method was employed to simulate the channel flow with polymer suspension. The polymer molecules were modeled as Finitely Extensible Nonlinear Elastic （FENE） chains and FENE chain cluster. The coiled stretched transition of FENE chains was examined and the change in configuration of FENE chains was presented. The average velocity profile of the fully developed channel flow with 64 FENE chains was given and fitted well with the power-law curve. The change of chain cluster configuration was also simulated. These simulations show that DLM/FD method is capable of simulating the motion of not only FENE chain, but also FENE chain cluster.

关键词： Distributed Lagrange Multiplier/Fictitious Domain (DLM/FI)) method Finitely Extensible Nonlinear Elastic (FENE) polymer chain channel flow

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Enhanced subacute ischemic stroke treatment via multistage drug delivery system design for combination therapy

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Science China Chemistry 2025年

作者： xihan Xu Juan-Juan Li Jiamin Li Hui-Yan Zhang Yilin Qi Bing-Sen Shi Tianqi Li Shan-Shan Su weitao Zhao Chang Chen Zhongying Gong Huiyu Liu Ke-Rang Wang Dong-sheng Guo xue xue State Key Laboratory of Medicinal Chemical Biology College of Pharmacy Nankai University College of Chemistry State Key Laboratory of Elemento-Organic Chemistry Key Laboratory of Functional Polymer Materials (Ministry of Education) Frontiers Science Center for New Organic Matter Collaborative Innovation Center of Chemical Science and EngineeringNankai University College of Chemistry and Materials Science State Key Laboratory of New Pharmaceutical Preparations and Excipients Key Laboratory of Medicinal Chemistry and Molecular Diagnosis (Ministry of Education) Key Laboratory of Chemical Biology of Hebei Province Hebei Research Center of the Basic Discipline of Synthetic Chemistry Hebei University Department of Neurology Tianjin First Central Hospital School of Medicine Nankai University Beijing Advanced Innovation Center for Soft Matter Science and Engineering State Key Laboratory of Organic-Inorganic Composites Beijing Laboratory of Biomedical Materials Bionanomaterials & Translational Engineering Laboratory Beijing Key Laboratory of BioprocessBeijing University of Chemical Technology

The management of acute ischemic stroke remains challenging due to its abrupt onset and the narrow treatment window,resulting in high rates of disability and *** therapy for neuroprotection and neurorepair strategies provided new hopes for subacute stroke *** we designed a multistage nanodelivery system that matches the unique microenvironment of the subacute phase of stroke,which utilizes calixarene as a building block to effectively load the neuroprotective drug *** calixarene is designed with glycosidic linkages targeting the glucose transporter 1 (GLUT1)on the blood-brain barrier (BBB) and azo bonds that are responsive to hypoxic ***,the decomposed calixarene molecules themselves possess intrinsic bio-activation to modulate inflammatory responses,achieving a multistage therapeutic approach that transitions from targeting to release and finally to *** approach combines anti-inflammation and neuroprotection,providing a multi-level treatment *** system was validated in a rat model of permanent middle cerebral artery occlusion (pMCAO),demonstrating that intravenous administration of the nanodelivery system repairs brain damage and improves motor function 24 h post-pMCAO *** work offers a precise and integrative strategy for stroke patients missing the acute therapy window to improve functional recovery and enhance the effect of comprehensive treatment.

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Facile Mechanochemical Preparation of Polyamide-derivatives via Solid-state Benzoxazine-isocyanide Chemistry

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Chinese Journal of Polymer Science 2021年第5期39卷 573-584,I0006页

作者： Xu Sun wei Shi xin-yu zhou sheng Ding Oil&Gas Field Applied Chemistry Key Laboratory of Sichuan Province College of Chemistry and Chemical EngineeringSouthwest Petroleum UniversityChengdu 610500China

With the exploration of novel sustainable protocol for functional polyamides'(PAs)construction as the starting point,herein,the small molecular model compound(M 1-ssBIC)was prepared firstly by manual grinding of monofunctional benzoxazine(1a)and isocyanide(1 b)via solid-state benzoxazine-isocyanide chemistry(ssBIC)to evaluate the feasibility of *** PAs(P1-series polymers)were subsequently synthesized from biunctional benzoxazine(2a)and isocyanide(2b),and the influence of the loading of catalyst(octylphosphonic acid)(OPA)on the polymerization was ***,two kinds of cross-linked PAs were successfully constructed via ssBIC by using trifunctional benzoxazine(3a)and cross-linked polybenzoxazine(4a)as reaction substrates,respectively,thus verifying the adaptability of *** characterization indicates that amide,phenolic hydroxyl and tertiary amine substructures,with metal-complexing capability,have been successfully integrated into the obtained PAs.A type of representative PA/silver composite(P3-AgNPs)was prepared subsequently via in situ reduction treatment,and its application as recyclable reduction catalyst for organic pollutant p-nitrophenol(4-NP)was preliminarily investigated here to provide the example for possible downstream application of *** think that this current work could provide a new pathway for the construction of functional PAs through facile and sustainable ssBIC protocol.

关键词： Mechanochemistry Solid-state synthesis Benzoxazine Isocyanide Polyamide

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Learning to select pseudo labels: a semi-supervisedmethod for named entity recognition

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Frontiers of Information Technology & Electronic Engineering 2020年第6期21卷 903-916页

作者： Zhen-zhen LI Da-wei FENG Dong-sheng LI xi-cheng LU College of Computer National University of Defense TechnologyChangsha 410073China

Deep learning models have achieved state-of-the-art performance in named entity recognition(NER);the good performance,however,relies heavily on substantial amounts of labeled *** some specific areas such as medical,financial,and military domains,labeled data is very scarce,while unlabeled data is readily *** studies have used unlabeled data to enrich word representations,but a large amount of entity information in unlabeled data is neglected,which may be beneficial to the NER *** this study,we propose a semi-supervised method for NER tasks,which learns to create high-quality labeled data by applying a pre-trained module to filter out erroneous pseudo *** labels are automatically generated for unlabeled data and used as if they were true *** semi-supervised framework includes three steps:constructing an optimal single neural model for a specific NER task,learning a module that evaluates pseudo labels,and creating new labeled data and improving the NER model *** results on two English NER tasks and one Chinese clinical NER task demonstrate that our method further improves the performance of the best single neural *** when we use only pre-trained static word embeddings and do not rely on any external knowledge,our method achieves comparable performance to those state-of-the-art models on the CoNLL-2003 and OntoNotes 5.0 English NER tasks.

关键词： Named entity recognition Unlabeled data Deep learning Semi-supervised method

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Stage identification and process optimization for fast drilling EDM of film cooling holes using KBSI method

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Advances in Manufacturing 2023年第3期11卷 477-491页

作者： Jian Wang xue-cheng xi Ya-Ou Zhang Fu-Chun Zhao Wan-sheng Zhao State Key Laboratory of Mechanical System and Vibration Shanghai 200240People's Republic of China School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240People's Republic of China

Fast drilling electrical discharge machining(EDM)is widely used in the manufacture of film cooling holes of turbine ***,due to the various hole orientations and severe electrode wear,it is relatively intricate to accurately and timely identify the critical moments such as breakout,hole completion in the drilling process,and adjust the machining strategy *** breakout detection and hole completion determination methods are not suitable for the high-efficiency and fully automatic production of film cooling holes,for they almost all depend on preset thresholds or training data and become less appropriate when machining condition *** the breakout and hole completion detection problems can be abstracted to an online stage identification problem,in this paper,a kurtosis-based stage identification(KBSI)method,which uses a novel normalized kurtosis to denote the recent changing trends of gap voltage signals,is developed for online stage *** identification accuracy and generalization ability of the KBSI method have been verified in various machining *** improve the overall machining efficiency,the influence of servo control parameters on machining efficiency of each machining stage was analyzed experimentally,and a new stage-wise adaptive control strategy was then proposed to dynamically adjust the servo control parameters according to the online identification *** performance of the new strategy is evaluated by drilling film cooling holes at different hole *** results show that with the new control strategy,machining efficiency and the machining quality can be significantly improved.

关键词： Fast drilling electrical discharge machining(EDM) Film cooling holes Breakout detection Hole completion determination Stage identification Process optimization

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Further discussion of CO_(2) huff-n-puff mechanisms in tight oil reservoirs based on NMR monitored fluids spatial distributions

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Petroleum Science 2023年第1期20卷 350-361页

作者： wei-yu Tang James J.sheng Ting-xue Jiang Unconventional Petroleum Research Institute China University of PetroleumBeijing102249China Bob L.Herd Department of Petroleum Engineering Texas Tech UniversityLubbockTX79409USA Sinopec Research Institute of Petroleum Engineering Beijing100101China

Due to the poor physical properties of tight reservoirs,CO_(2) huff-n-puff(HNP)is considered a potential enhanced oil recovery(EOR)method after primary *** plays a critical role in the effective implementation of CO_(2) *** the optimization requires a good understanding of the EOR *** this work,the spatial distribution of oil saturation under different experimental conditions was analyzed by the NMR method to further discuss the HNP *** to the variation of 1D frequency signal amplitude,we divided the core into the hardly movable area and movable area,the region with the obvious signal decline was defined as the movable area,and the hardly movable area was the region with limited signal *** on that the recovery characteristics of different scenarios were ***,the necessity of the soaking stage was studied,where three scenarios with different soaking times were carried ***,the injection pressure was adjusted to investigate the effect of the pressure *** T_(2) spectra show that soaking has significantly improved the production of crude oil in small pores,and higher oil recovery in a single cycle is observed,but it is lower when the elapsed time(total operation time)is the same.31.03% of oil can be recovered after 3 cycles HNP,which increases to 33.8% and 37.06% for the 4 cycles and 6 cycles *** the pressure gradient increases,more oil is removed out of the matrix,and the oil in the deep part of the reservoir can be effectively *** the CO_(2) huff-n-puff process,the oil distributions are similar to the solution gas drive,the residual oil is distributed at the close end of the core and the range that the oil can be efficiently recovered is limited.

关键词： Tight reservoirs Low-field nuclear magnetic resonance (NMR) CO_(2)huff-n-puff Enhanced oil recovery

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Schiff-base-rich g-C_(x)N_(4) supported PdAg nanowires as an efficient Mott-Schottky catalyst boosting photocatalytic dehydrogenation of formic acid

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Rare Metals 2021年第4期40卷 808-816页

作者： Hu Liu xue-xiang Li xin-Yang Liu Zhen-Hui Ma zhou-Yang Yin wei-wei Yang Yong-sheng yu School of Chemistry and Chemical Engineering Xi’an University of Architecture and TechnologyXi'an 710055China School of Chemistry and Chemical Engineering Northwestern Polytechnical UniversityXi'an 710072China MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin 150001China Department of Chemistry Brown UniversityRI 02912USA

Developing an efficient photocatalyst,catalyzing formic acid(FA) dehydrogenation,can satisfy the demand of the H_(2) ***,a graphitic carbon nitride(gC_(x)N_(4))-based nanosheet(x=3.2,3.6 or 3.8) with melem rings conjugated by Schiff-base bond(N=C-C=N) was synthesized,tuning the bandgaps(Eg) of graphitic carbon nitride(g-C_(3) N_(4)) in the range of 1.8 400 nm) without any additive at 25℃,which is the best value among ever-reported *** work provides a new strategy to boost dehydrogenation photocatalysis of FA,which will be promising for practical application of H2 in future energy field.

关键词： Dehydrogenation of formic acid Graphitic carbon nitride Schiff base PdAg nanowires Mott-Schottky heterojunction

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