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Design of BCC/FCC dual-solid solution refractory high-entropy alloys through CALPHAD,machine learning and experimental methods
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作者 Longjun He Chaoyue Wang +3 位作者 Mina Zhang Jinghao Li Tianlun Chen Xianglin Zhou 《npj Computational Materials》 2025年第1期1150-1160,共11页
Refractory high-entropy alloys(RHEAs)typically exhibit a body-centered cubic(BCC)structure with excellent strength but poor ductility,which limits their practical applications.In this study,wedesigned BCC/FCC dual-pha... Refractory high-entropy alloys(RHEAs)typically exhibit a body-centered cubic(BCC)structure with excellent strength but poor ductility,which limits their practical applications.In this study,wedesigned BCC/FCC dual-phase RHEAs through phase diagram calculations and neural network modeling.The analysis of the binary phase formation relationships among alloying elements enabled the preliminary screening and inclusion of 13 liquid-phase-separated BCC/FCC dual-phase RHEAs in the training dataset for the machine learning model.Two strategic binary classifications of this dataset were conducted on HEAs to identify their“multiphase”and“solid solution”structures.Consequently,two neural network models were trained,achieving accuracies of 89.52%and 89.83%,respectively.These models predicted 51 BCC/FCC dual-phase RHEAs among 504 novel RHEAs,representing the first successful compositional design of metastable BCC/FCC dual-phase RHEAs.The arc-melted alloys exhibited refined dendritic structure.This study provides valuable insights for the tailored design of novel multi-phase RHEAs to achieve specific targeted properties. 展开更多
关键词 machine learning bcc fcc dual phase phase diagram calculations machine le training dataset alloying elements CALPHAD neural network modelingthe
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Assessing coastal erosion dynamics and sea level rise impacts on Kuala Nerus and Kuala Terengganu,Malaysia:a case study in climate-resilient coastal management
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作者 Milad Bagheri Mohd Fadzil Akhir +4 位作者 Iraj Gholami Isabelle D.Wolf Nik Norliati Fitri Binti Md Nor Izham Mohamad Yusoff Siti Masayu Rosliah Abdul Rashid 《Episodes》 2025年第3期255-278,共24页
In the face of uncertainty about climate change,this study examines the dynamics of sea level rise and coastline erosion in the East Coast of Malaysia.It examines past changes in the shoreline,beach profiles,and erosi... In the face of uncertainty about climate change,this study examines the dynamics of sea level rise and coastline erosion in the East Coast of Malaysia.It examines past changes in the shoreline,beach profiles,and erosion rates using sophisticated coastal engineering models,remote sensing,field observations,and numerical modeling.The focus is on developing a strong approach for Coastal City Hazard Management(CCHM)zones and modeling erosion trends.Results show that coastal erosion poses a serious risk to socioeconomic activities,habitats,and biodiversity.It is made worse by sea level rise and human activity.There is an assessment of the implications and solutions for mitigation for critical regions.Policymakers,engaged in coastal hazard management and climate change adaptation will find the study vital as it promotes proactive measures to protect vulnerable coastal populations and ecosystems. 展开更多
关键词 developing strong approach sophisticated coastal engineering modelsremote sensingfield observationsand coastline erosion numerical modelingthe coastal erosion climate changethis sea level rise modeling erosion
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