Hydrogen is a clean fuel with numerous sources,yet the hydrogen industry is plagued by hydrogen embrittlement(HE)issues during the storage,transportation,and usage of hydrogen gas.HE can compromise material performanc...Hydrogen is a clean fuel with numerous sources,yet the hydrogen industry is plagued by hydrogen embrittlement(HE)issues during the storage,transportation,and usage of hydrogen gas.HE can compromise material performance during service,leading to significant safety hazards and economic losses.In the current work,the influence of element Cr on the HE resistance of nanocrystalline Fe-Cr alloys under different hydrogen concentrations and strain rates was evaluated.With hybrid Monte Carlo(MC)and molecular dynamics(MD)simulations,it was found that Cr atoms were segregated at grain boundaries(GB)and inhibited the GB decohesion.Correspondingly,Cr segregation improved the strength and plasticity of the nanocrystalline Fe-Cr alloys,especially the HE resistance.Moreover,the Cr segregation reduced the diffusion coefficient of hydrogen and inhibited hydrogen-induced cracking.This work provided new insight into the development of iron-based alloys with high HE resistance in the future.展开更多
Multi-component alloys have demonstrated excellent performance in various applications,but the vast range of possible compositions and microstructures makes it challenging to identify optimized alloys for specific pur...Multi-component alloys have demonstrated excellent performance in various applications,but the vast range of possible compositions and microstructures makes it challenging to identify optimized alloys for specific purposes.To overcome this challenge,large-scale atomic simulation techniques have been widely used for the design and optimization of multi-component alloys.The capability and reliability of large-scale atomic simulations essentially rely on the quality of interatomic potentials that describe the interactions between atoms.This work provides a comprehensive summary of the latest advances in atomic simulation techniques for multi-component alloys.The focus is on interatomic potentials,including both conventional empirical potentials and newly developed machine learning potentials(MLPs).The fitting processes for different types of interatomic potentials applied to multi-component alloys are also discussed.Finally,the challenges and future perspectives in developing MLPs are thoroughly addressed.Overall,this review provides a valuable resource for researchers interested in developing optimized multicomponent alloys using atomic simulation techniques.展开更多
基金supported by the National Key Research and Development Program of China(No.2022YFB3709000)the National Natural Science Foundation of China(Nos.52122408,52101019,51901013,and 52071023)H.H.Wu also thanks the financial support from the Fundamental Research Funds for the Central Universities(University of Science and Technology Beijing,No.06500135 and FRF-TP-2021-04C1).
文摘Hydrogen is a clean fuel with numerous sources,yet the hydrogen industry is plagued by hydrogen embrittlement(HE)issues during the storage,transportation,and usage of hydrogen gas.HE can compromise material performance during service,leading to significant safety hazards and economic losses.In the current work,the influence of element Cr on the HE resistance of nanocrystalline Fe-Cr alloys under different hydrogen concentrations and strain rates was evaluated.With hybrid Monte Carlo(MC)and molecular dynamics(MD)simulations,it was found that Cr atoms were segregated at grain boundaries(GB)and inhibited the GB decohesion.Correspondingly,Cr segregation improved the strength and plasticity of the nanocrystalline Fe-Cr alloys,especially the HE resistance.Moreover,the Cr segregation reduced the diffusion coefficient of hydrogen and inhibited hydrogen-induced cracking.This work provided new insight into the development of iron-based alloys with high HE resistance in the future.
基金the National Key Research and Development Program of China(No.2022YFB3709000)the National Natural Science Foundation of China(Nos.52122408,52071023,52101019,and 51901013)the Fundamental Research Funds for the Central Universities(University of Science and Technology Beijing,Nos.06500135 and FRF-TP-2021-04C1).
文摘Multi-component alloys have demonstrated excellent performance in various applications,but the vast range of possible compositions and microstructures makes it challenging to identify optimized alloys for specific purposes.To overcome this challenge,large-scale atomic simulation techniques have been widely used for the design and optimization of multi-component alloys.The capability and reliability of large-scale atomic simulations essentially rely on the quality of interatomic potentials that describe the interactions between atoms.This work provides a comprehensive summary of the latest advances in atomic simulation techniques for multi-component alloys.The focus is on interatomic potentials,including both conventional empirical potentials and newly developed machine learning potentials(MLPs).The fitting processes for different types of interatomic potentials applied to multi-component alloys are also discussed.Finally,the challenges and future perspectives in developing MLPs are thoroughly addressed.Overall,this review provides a valuable resource for researchers interested in developing optimized multicomponent alloys using atomic simulation techniques.
