When components overlap, the aircraft multiple-hit vulnerability analysis usually consists of two steps. The first is to determine the aircraft unique existent states using vulnerable area decomposition method, and th...When components overlap, the aircraft multiple-hit vulnerability analysis usually consists of two steps. The first is to determine the aircraft unique existent states using vulnerable area decomposition method, and the second is to calculate the aircraft cumulated probability of kill using Markov chain method for exact solution or Monte Carlo method for solving the combinatorial explosion problem. This article proposes a direct simulation method for calculating the aircraft multiple-hit vulnerability in order to avoid the complex vulnerable area decomposition issue. In this method, random method is adopted to produce the multiple-hit locations and Bernoulli trial is used to determine the kill or no kill of each component hit by one shot line, and kill tree is checked to determine aircraft existent states during one simulation. When the number of times of simulation is large enough, the aircraft multiple-hit vulnerability can be statistically obtained. Analysis shows that the proposed direct simulation method can provide good accuracy compared with Markov chain method and avoid the combinatorial explosion problem, and does not need the complex vulnerable area decomposition and can directly calculate the aircraft multiple-hit vulnerability. Another important finding is the binomial or Poisson simplified approach is sometimes very poor in accuracy, and should be used cautiously.展开更多
The development of new materials exhibiting large anomalous Hall effect(AHE)is essential for realizing highly efficient spintronic devices.However,this development has been a time-consuming process due to the combinat...The development of new materials exhibiting large anomalous Hall effect(AHE)is essential for realizing highly efficient spintronic devices.However,this development has been a time-consuming process due to the combinatorial explosion for multielement systems and limited experimental throughput.In this study,we identify new materials exhibiting large AHE in heavy-metal-substituted Fe-based alloys using a high-throughput materials exploration method that combines deposition of compositionspread films using combinatorial sputtering,photoresist-free facile multiple-device fabrication using laser patterning,simultaneous AHE measurement of multiple devices using a customized multichannel probe,and prediction of candidate materials using machine learning.Based on experimental AHE data on Fe-based binary system alloyed with various single heavy metals,we perform machine learning analysis to predict the Fe-based ternary system containing two heavy metals for larger AHE.We experimentally confirm larger AHE in the predicted Fe–Ir–Pt system.Using scaling analysis,we reveal that the enhancement of AHE originates from the extrinsic contribution.展开更多
基金Ph.D. Programs Foundation of Ministry of Education of China （200806991002） Natural Science Foundation of Shaanxi Province （SJ08A11）+2 种基金 NPU Foundation for Fundamental Research （NPU- FFR-JC200804） Young Teacher Foundation of NPU （W016208） ＂Aoxiang Star Project＂ of NPU.
文摘When components overlap, the aircraft multiple-hit vulnerability analysis usually consists of two steps. The first is to determine the aircraft unique existent states using vulnerable area decomposition method, and the second is to calculate the aircraft cumulated probability of kill using Markov chain method for exact solution or Monte Carlo method for solving the combinatorial explosion problem. This article proposes a direct simulation method for calculating the aircraft multiple-hit vulnerability in order to avoid the complex vulnerable area decomposition issue. In this method, random method is adopted to produce the multiple-hit locations and Bernoulli trial is used to determine the kill or no kill of each component hit by one shot line, and kill tree is checked to determine aircraft existent states during one simulation. When the number of times of simulation is large enough, the aircraft multiple-hit vulnerability can be statistically obtained. Analysis shows that the proposed direct simulation method can provide good accuracy compared with Markov chain method and avoid the combinatorial explosion problem, and does not need the complex vulnerable area decomposition and can directly calculate the aircraft multiple-hit vulnerability. Another important finding is the binomial or Poisson simplified approach is sometimes very poor in accuracy, and should be used cautiously.
基金supported by JST CREST(Grant No.JPMJCR21O1)JST ERATO“Magnetic Thermal Management Materials Project”(Grant No.JPMJER2201)+1 种基金MEXT Program:Data Creation and Utilization-Type Material Research and Development Project(Digital Transformation Initiative Center for Magnetic Materials.Grant No.JPMXP1122715503)JSPS KAKENHI Grants-in-Aid for Scientific Research(B)(Grant Nos.JP21H01608 and JP24K00932).
文摘The development of new materials exhibiting large anomalous Hall effect(AHE)is essential for realizing highly efficient spintronic devices.However,this development has been a time-consuming process due to the combinatorial explosion for multielement systems and limited experimental throughput.In this study,we identify new materials exhibiting large AHE in heavy-metal-substituted Fe-based alloys using a high-throughput materials exploration method that combines deposition of compositionspread films using combinatorial sputtering,photoresist-free facile multiple-device fabrication using laser patterning,simultaneous AHE measurement of multiple devices using a customized multichannel probe,and prediction of candidate materials using machine learning.Based on experimental AHE data on Fe-based binary system alloyed with various single heavy metals,we perform machine learning analysis to predict the Fe-based ternary system containing two heavy metals for larger AHE.We experimentally confirm larger AHE in the predicted Fe–Ir–Pt system.Using scaling analysis,we reveal that the enhancement of AHE originates from the extrinsic contribution.
