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A Damage-tolerant Bulk Metallic Glass at Liquid-nitrogen Temperature

Journal of Materials science & Technology 2014年第6期30卷 627-630页

作者： Jun Yi s.mohsen seifi Weihua Wang John J.Lewandowski Department of Materials science and Engineering Case Western Reserve UniversityClevelandOH 44106-7204 USA Institute of Physics Chinese Academy of Sciences

Tensile tests and notch toughness tests were conducted on Zr61Ti2Cu25Al12 glass （ZT） at room temperature and liquid-nitrogen temperature. The tensile strength of ZT was improved from 1.63 GPa at room temperature to 1.72 GPa at liquid-nitrogen temperature. Micro-notches with a root radius of 1-3μm were introduced to test the notch toughness of ZT at room temperature and liquid-nitrogen temperature. The test results revealed that the notch toughness of ZT at liquid-nitrogen temperature is comparable to that of ZT at room temperature. The combination of high yield strength and notch toughness of ZT at liquid-nitrogen temperature is comparable to that of the best cryogenic engineering materials.

关键词： Metallic glasses Yield strength Fracture toughness Liquid-nitrogen temperature

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Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique

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Journal of Computer and Communications 2024年第5期12卷 124-139页

作者： Neda seifi Abdullah Al-Mamun Department of Computer & Cyber sciences— SCCS Augusta University Augusta Georgia USA

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing. Despite these advancements, efficiently programming GPUs remains a daunting challenge, often relying on trial-and-error optimization methods. This paper introduces an optimization technique for CUDA programs through a novel Data Layout strategy, aimed at restructuring memory data arrangement to significantly enhance data access locality. Focusing on the dynamic programming algorithm for chained matrix multiplication—a critical operation across various domains including artificial intelligence (AI), high-performance computing (HPC), and the Internet of Things (IoT)—this technique facilitates more localized access. We specifically illustrate the importance of efficient matrix multiplication in these areas, underscoring the technique’s broader applicability and its potential to address some of the most pressing computational challenges in GPU-accelerated applications. Our findings reveal a remarkable reduction in memory consumption and a substantial 50% decrease in execution time for CUDA programs utilizing this technique, thereby setting a new benchmark for optimization in GPU computing.

关键词： Data Layout Optimization CUDA Performance Optimization GPU Memory Optimization Dynamic Programming Matrix Multiplication Memory Access Pattern Optimization in CUDA

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An efficient Bayesian network for differential diagnosis using experts’knowledge

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International Journal of Intelligent Computing and Cybernetics 2020年第1期13卷 103-126页

作者： Mohammad Mahdi Ershadi Abbas seifi Department of Industrial Engineering and Management systems Amirkabir University of TechnologyTehranIran

Purpose-This study aims to differential diagnosis of some diseases using classification methods to support effective medical *** this purpose,different classification methods based on data,experts’knowledge and both are considered in some ***,feature reduction and some clustering methods are used to improve their ***/methodology/approach-First,the performances of classification methods are evaluated for differential diagnosis of different ***,experts’knowledge is utilized to modify the Bayesian networks’*** of the results show that using experts’knowledge is more effective than other algorithms for increasing the accuracy of Bayesian network classification.A total of ten different diseases are used for testing,taken from the Machine Learning Repository datasets of the University of California at Irvine(UCI).Findings-The proposed method improves both the computation time and accuracy of the classification methods used in this *** networks based on experts’knowledge achieve a maximum average accuracy of 87 percent,with a minimum standard deviation average of 0.04 over the sample datasets among all classification *** implications-The proposed methodology can be applied to perform disease differential diagnosis ***/value-This study presents the usefulness of experts’knowledge in the diagnosis while proposing an adopted improvement method for ***,the Bayesian network based on experts’knowledge is useful for different diseases neglected by previous papers.

关键词： Bayesian network K2 algorithm Experts’knowledge Classification methods Disease and cancer diagnosis

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Fatigue behavior of high-entropy alloys： A review

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science China(Technological sciences) 2018年第2期61卷 168-178页

作者： CHEN PeiYong LEE Chanho WANG shao-Yu seifi mohsen LEWANDOWsKI John J DAHMEN Karin A JIA HaoLing XIE Xie CHEN BiLin YEH Jien-Wei TsAI Che-Wei YUAN Tao LIAW Peter K Department of Materials science and Engineering The University of TennesseeKnoxville 37996，USA Department of Materials science and Engineering Case Western UniversityCleveland 44106USA Department of Physics University of IllinoisUrbana 61801USA Department of Materials science and Engineering 'National' Tsing Hua UniversityHsinchu 30013，Taiwan，China Department of Industry and system Engineering Ohio UniversityAthens 45701，USA

Fatigue failures cost approximately 4% of the United states' gross domestic product(GDP). The design of highly fatigue-resistant materials is always in demand. Different from conventional strategies of alloy design, high-entropy alloys(HEAs) are defined as materials with five or more principal elements, which could be solid solutions. This locally-disordered structure is expected to lead to unique fatigue-resistant properties. In this review, the studies of the fatigue behavior of HEAs during the last five years are summarized. The four-point-bending high-cycle fatigue coupled with statistical modelling, and the fatigue-crack-growth behavior of HEAs, are reviewed. The effects of sample defects and nanotwins-deformation mechanisms on four-point-bending high-cycle fatigue of HEAs are discussed in detail. The influence of stress ratio and temperature on fatigue-crack-growth characteristics of HEAs is also discussed. HEAs could exhibit comparable or greater fatigue properties, relative to conventional materials. Finally,the possible future work regarding the fatigue behavior of HEAs is suggested.

关键词： high-entropy alloys fatigue behaviour statistical modelling fatigue crack growth

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Histopathological and molecular study of Neospora caninum infection in bovine aborted fetuses

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Asian Pacific Journal of Tropical Biomedicine 2014年第12期4卷 990-994页

作者： Amir Kamali Hesam Adin seifi Ahmad Reza Movassaghi Gholam Reza Razmi Zahra Naseri Department of Clinical sciences Faculty of Veterinary MedicineFerdowsi University of Mashhad Center of Excellence in Ruminant Abortion and Neonatal Mortality Ferdowsi University of Mashhad Department of Pathobiology Faculty of Veterinary MedicineFerdowsi University of Mashhad

Objective:To estimate the extent to which abortion in dairy cows was associated with of Neospom caninum(***) and to determine the risk factors of neosporosis in dairy farms from 9 provinces in ***:Polymerase chain reaction(PCR) test was used to detect Neospora infection in the brain of 395 bovine aborted fetuses from 9 provinces of *** addition,the brains of aborted fetuses were taken for histopathological *** identify the risk factors associated with neosporosis,data analysis was performed by ***:*** was detected in 179(45%) out of 395 fetal brain samples of bovine aborted fetuses using *** the PCR-positive brain samples,only 56 samples were suited for histopathological *** characteristic lesions of Neospora infection including non-suppurative encephalitis were found in 16(28%) of PCR-positive *** risk factors including season,parity of dam,history of bovine virus diarrhea and infectious bovine rhinotracheitis infection in herd,cow's milk production,herd size and fetal appearance did not show association with the *** study showed that Neospora caused abortion was significantly more in the second trimester of pregnancy than other *** addition,a significant association was observed between Neospora infection and ***:The results showed *** infection was detected in high percentage of aborted *** addition,at least one fourth of abortions caused by Neospora *** results indicate increasing number of abortions associated with the protozoa more than reported before in Iran.

关键词： Neospora caninum Dairy herds Abortion PCR Histopathology Risk factors

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基于城市能源系统的碳排放风险评估研究——以湖北荆门市为例

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城市发展研究 2020年第5期27卷 27-31页

作者：赖玉珮李芬彭锐 Vicky Albert seifried 杨世琦深圳市建筑科学研究院股份有限公司中国城市科学研究会德国弗劳恩霍夫研究院太阳能研究所清华大学核能与新能源技术研究院

城市占据了全球总能耗的六成以上,在全球应对气候变化的行动中,城市在减少碳排放、适应气候变化上面临机遇与挑战,特别是在能源系统相关的各个部门。依托常年积累的可追踪官方数据,以案例城市详实的调研数据为基础,通过建立横向、动态... 详细信息

城市占据了全球总能耗的六成以上,在全球应对气候变化的行动中,城市在减少碳排放、适应气候变化上面临机遇与挑战,特别是在能源系统相关的各个部门。依托常年积累的可追踪官方数据,以案例城市详实的调研数据为基础,通过建立横向、动态的对比分析,研究评价案例城市的能源系统与相关部门在一定时间内所面临的碳排放风险,从而针对风险提出可能的适应能力提升建议,为同类型城市提供借鉴。结果发现,案例城市能源系统相关的碳排放有两项高风险指标,主要体现在能源供应结构方面。

关键词：城市能源特征碳排放风险碳减排适应能力荆门市

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