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| 1 | Application Value of Topical Aneasthesia in Children Strabismus Surgery显示文摘Purpose:Comparison of topical vs general aneasthesia for strabismus surgery. Methods: Preoperative patients (aged 6~12 years) were divided into two study groups: the topical aneasthesia group (n=22), and the general aneasthesia group (n=21). The study groups were compared on the following measures:.analgesic effect, surgical correction effect, eye-heart reflex, preoperative preparation time. and operation time, using t-tests or X2 tests where appropriate. Results:.Compared with the general aneasthesia group, the topical aneasthesia group gained better surgical correction results(P<0.05), had a lower rate of eye-heart reflex (P<0.05), and had a shorter preoperative preparation time (P<0.001). No significant difference was observed between the groups in terms of the analgesic effect or operation time (P>0.05). Conclusion:Topical aneasthesia represents a safe and effective alternative to general aneasthesia for strabismus surgery in children. | Xiaoping He Lina Chen Xinfu Pan Huiyong Hu Zhimin Shi | 2012 | Eye Science2012，27，3： | 3 |
| 2 | Crystal-KMC: Parallel Software for Lattice Dynamics Monte Carlo Simulation of Metal Materials显示文摘Kinetic Monte Carlo(KMC) is a widely used method for studying the evolution of materials at the microcosmic level. At present, while there are many simulation software programs based on this algorithm, most focus on the verification of a certain phenomenon and have no analog-scale requirement, so many are serial in nature. The dynamic Monte Carlo algorithm is implemented using a parallel framework called SPPARKS, but it does not support the Embedded Atom Method(EAM) potential, which is commonly used in the dynamic simulation of metal materials. Metal material — the preferred material for most containers and components — plays an important role in many fields, including construction engineering and transportation. In this paper, we propose and describe the development of a parallel software program called Crystal-KMC, which is specifically used to simulate the lattice dynamics of metallic materials. This software uses MPI to achieve a parallel multiprocessing mode, which avoid the limitations of serial software in the analog scale. Finally, we describe the use of the parallel-KMC simulation software Crystal-KMC in simulating the diffusion of vacancies in iron, and analyze the experimental results. In addition, we tested the performance of Crystal-KMC in 'meta-Era' supercomputing clusters, and the results show the Crystal-KMC parallel software to have good parallel speedup and scalability. | Jianjiang Li Peng Wei Shaofeng Yang Jie Wu Peng Liu Xinfu He | 2018 | Tsinghua Science and Technology2018，23，4： | 2 |
| 3 | Integrated Coal Pyrolysis with Methane Aromatization over Mo/HZSM-5 for Improving Tar Yield显示文摘 | Jin Lijun Zhou Xun He Xinfu | 2013 | Fuel2013，114，12： | 1 |
| 4 | Integrated Process of Coal Pyrolysis with C()2 Reforming of Methane by Dielectric Barrier显示文摘 | He Xinfu Hu Haoquan Jin Lijun | 2011 | Energy and Fuels2011，25，9： | 1 |
| 5 | Catalytic Methane Decomposition over Activated Carbons Prepared from Direct Coal Liquefaction Residue by KOH Activation with Addition of SiO2 or SBA-15显示文摘 | Zhang Jianbo Jin Lijun He Xinfu | 2011 | International Journal of Hydrogen Energy2011，36，15： | 1 |
| 6 | Integrated coal pyrolysis with methane aromatization over Mo/HZSM-5 for improving tar yield显示文摘 | Jin Lijun Zhou Xun He Xinfu Hu Haoquan | 2013 | Fuel2013，114，12： | 1 |
| 7 | Preparation of Ni/MgO catalyst for CO2 reformingof methane by dielectric-barrier discharge plasma 显示文摘 | Hua Wei Jin Lijun He Xinfu Liu Jiahe HuHaoquan | 2010 | Catalysis Communications2010，11，： | 1 |
| 8 | Pyrolysis behavior of vitrinite and inertinite from Chinese Pingshuo coal by TG–MS and in a fixed bed reactor显示文摘 | Yunpeng Zhao Haoquan Hu Lijun Jin Xinfu He Bo Wu | 2010 | Fuel Processing Technology2010，，4： | 1 |
| 9 | Applying multi-scale simulations to materials research of nuclear fuels:A review显示文摘Computational simulation is an important technical means in research of nuclear fuel materials.Since nuclear fuel issues are inherently multi-scopic,it is imperative to study them with multi-scale simulation scheme.At present,the development of multi-scale simulation for nuclear fuel materials calls for a more systematic approach,in which lies the main purpose of this article.The most important thing in multi-scale simulation is to accurately formulate the goals to be achieved and the types of methods to be used.In this regard,we first summarize the basic principles and applicability of the simulation methods which are commonly used in nuclear fuel research and are based on different scales ranging from micro to macro,i.e.First-Principles(FP),Molecular Dynamics(MD),Kinetic Monte Carlo(KMC),Phase Field(PF),Rate Theory(RT),and Finite Element Method(FEM).And then we discuss the major material issues in this field,also ranging from micro-scale to macro-scale and covering both pellets and claddings,with emphasis on what simulation method would be most suitable for solving each of the issues.Finally,we give our prospective analysis and understanding about the feasible ways of multi-scale integration and relevant handicaps and challenges. | Chunyang Wen Di Yun Xinfu He Yong Xin Wenjie Li Zhipeng Sun | 2021 | Materials Reports(Energy)2021，1，3： | 0 |
| 10 | Crystal MD:Molecular Dynamic Simulation Software for Metal with BCC Structure显示文摘Material irradiation effect plays an important role in material science.However,it is lack of high-throughput irradiation facility and process of evolution and development,which lead to lack of basic scientific theory about atomic scale materials design and development guidance.High-performance computing for simulation makes deeply understanding of micro-level-material possible.In this paper,a new data structure is proposed for the parallel simulation of metal materials evolution with crystal structure under irradiation defects.Compared with LAMMPS and IMD,which are two popular molecular dynamic simulation versions,our method takes much less memory on multi-core clusters. | He Bai Changjun Hu Xinfu He Boyao Zhang Jue Wang | 2015 | 国际计算机前沿大会会议论文集2015，，B12： | 0 |
| 11 | Kernel Optimization on Short-Range Potentials Computations in Molecular Dynamics Simulations显示文摘We present multi-threading and SIMD optimizations on short-range potential calculation kernel in Molecular Dynamics.For the multi-threading optimization,we design a partition-and-two-steps(PTS)method to avoid write conflicts caused by using Newton’s third law.Our method eliminates serialization bottle-neck without extra memory.We implement our PTS method using OpenMP.Afterwards,we discuss the influence of the cutoff if statement on the performance of vectorization in MD simulations.We propose a pre-searching neighbors method,which makes about 70%atoms meet the cutoff check,reducing a large amount of redundant calculation.The experiment results prove our PTS method is scalable and efficient.In double precision,our 256-bit SIMD implementation is about 3×faster than the scalar version. | Xianmeng Wang Jianjiang Li Jue Wang Xinfu He Ningming Nie | 2015 | 国际计算机前沿大会会议论文集2015，，B12： | 0 |
| 12 | Yield Stress Prediction Model of RAFM Steel Based on the Improved GDM-SA-SVR Algorithm显示文摘With the development of society and the exhaustion of fossil energy,researcher need to identify new alternative energy sources.Nuclear energy is a very good choice,but the key to the successful application of nuclear technology is determined primarily by the behavior of nuclear materials in reactors.Therefore,we studied the radiation performance of the fusion material reduced activation ferritic/martensitic(RAFM)steel.The main novelty of this paper are the statistical analysis of RAFM steel data sets through related statistical analysis and the formula derivation of the gradient descent method(GDM)which combines the gradient descent search strategy of the Convex Optimization Theory to get the best value.Use GDM algorithm to upgrade the annealing stabilization process of simulated annealing algorithm.The yield stress performance of RAFM steel is successfully predicted by the hybrid model which is combined by simulated annealing(SA)with support vector machine(SVM)as the first time.The effect on yield stress by the main physical quantities such as irradiation temperature,irradiation dose and test temperature is also analyzed.The related prediction process is:first,we used the improved annealing algorithm to optimize the SVR model after training the SVR model on a training data set.Next,we established the yield stress prediction model of RAFM steel.The model can predict up to 96%of the data points with the prediction in the test set and the original data point in the 2range.The statistical test analysis shows that under the condition of confidence level=0.01,the calculation results of the regression effect significance analysis pass the T-test. | Sifan Long Ming Zhao Xinfu He | 2019 | Computers, Materials & Continua2019，，3： | 0 |
| 13 | Atomic Study of Hardening Mechanism Induced by Hebubble显示文摘Due to its excellent thermal-mechanical properties,such as high strength,low irradiation swelling,low thermal expansivity,high thermal conductivity,F/M steels are considered as the candidate structural materials for Gen-Ⅳreactors and fusion reactors.During the service,neutron can cause transmutation reactions producing helium in the material.Helium is insoluble and | JIA Lixia HE Xinfu DOU Yankun WU Shi WANG Dongjie CAO Han YANG Wen | 2017 | Annual Report of China Institute of Atomic Energy2017，，1： | 0 |
| 14 | Physics Based Model on Light Water Reactor Vessel Irradiation Embrittlement Prediction显示文摘Light water reactor vessel would undergo performance degradation within longtime normal operation,which generally referring to embrittlement,the main cause world-widely believed as neutron enhanced or induced evolution of microstructure features,such as copper rich precipitation(CRP)or clusters,matrix damages(MD),as well as solute atom(mainly P)segregation | WANG Dongjie HE Xinfu DOU Yankun JIA Lixia WU Shi CAO Han YANG Wen | 2017 | Annual Report of China Institute of Atomic Energy2017，，1： | 0 |
| 15 | Simulation of Cascade in BCC Iron显示文摘When the material is irradiated,the incident particles interact with the lattice atoms of materials,experiencing the processes of collision,defect formation and annealing,which eventually lead to the evolution of the microstructure inside the material.After the collision of incident particles and lattice atoms,primary knock-on atoms(PKA)are produced first.Then,PKA trigger | CAO Han HE Xinfu DOU Yankun JIA Lixia WU Shi WANG Dongjie YANG Wen | 2017 | Annual Report of China Institute of Atomic Energy2017，，1： | 0 |
| 16 | Study of Effect of Mn on Hardening Induced by Cu Precipitates in bcc Fe Matrix显示文摘Cu precipitate is one of the major contributors to the hardening and embrittlement in pressurized water reactor pressure vessels steels(RPV).As the research going,solute elements were observed in rich Cu precipitates by 3Datomprobe tomography,such as Ni,and Mn.The appearance of Ni and Mn in RPV can significantly affect the formation and stability of rich Cu precipitates.Up to now,the influence of Ni | DOU Yankun HE Xinfu JIA Lixia WANG Dongjie WU Shi CAO Han YANG Wen | 2017 | Annual Report of China Institute of Atomic Energy2017，，1： | 0 |
| 17 | A new approach for high fidelity seismic data recovery by fractal interpolation显示文摘Recovering accurate data is important for both earthquake and exploration seismology studies, when data are sparsely sampled or partially missing. We present a method that allows for precise and accurate recovery of seismic data using a localized fractal recovery method. This method requires that the data are self-similar on local and global spatial scales. We present examples that show that the intrinsic structure associated with seismic data can be easily and accurately recovered by using this approach. This result, in turn, indicates that seismic data are indeed self-similar on local and global scales. This method is applicable not only for seismic studies, but also for any field studies that require accurate recovery of data from sparsely sampled datasets with partially missing data. Our ability to recover the missing data with high fidelity and accuracy will qualitatively improve the images of seismic tomography. | Hongyan Liu Tongjiang He Yukun Chen Xinfu Li | 2012 | Earthquake Science2012，25，4： | 0 |
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