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Ab initio framework for deciphering trade-off relationships in multicomponent alloys

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摘要 While first-principles methods have been successfully applied to characterize individual properties of multi-principal element alloys(MPEA),their use in searching for optimal trade-offs between competing properties is hampered by high computational demands.In this work,we present a framework to explore Pareto-optimal compositions by integrating advanced ab initio-based techniques into a Bayesian multi-objective optimization workflow,complemented by a simple analytical model providing straightforward analysis of trends.We benchmark the framework by applying it to solid solution strengthening and ductility of refractory MPEAs,with the parameters of the strengthening and ductility models being efficiently computed using a combination of the coherent-potential approximation method,accounting for finite-temperature effects,and actively-learned momenttensor potentials parameterized with ab initio data.Properties obtained from ab initio calculations are subsequently used to extend predictions of all relevant material properties to a large class of refractory alloys with the help of the analytical model validated by the data and relying on a few element-specific parameters and universal functions that describe bonding between elements.Our findings offer crucial insights into the traditional strength-vs-ductility dilemma of refractory MPEAs.The proposed framework is versatile and can be extended to other materials and properties of interest,enabling a predictive and tractable high-throughput screening of Pareto-optimal MPEAs over the entire composition space.
出处 《npj Computational Materials》 CSCD 2024年第1期1681-1696,共16页 计算材料学(英文)
基金 This research was funded in whole or in part by the Austrian Science Fund(FWF)[project No.P33491-N“ReCALL”] supported by the Forschungsförderungsgesellschaft(FFG)project No.878968“ADAMANT”and COMET program IC-MPPE(project No.859480) supported by the Austrian Federal Ministries for Climate Action,Environment,Energy,Mobility,Innovation and Technology(BMK)and for Digital and Economic Affairs(BMDW),represented by the Austrian research funding association(FFG),and the federal states of Styria,Upper Austria and Tyrol.
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