主成分分析
合金
组分(热力学)
相(物质)
理论(学习稳定性)
材料科学
计算机科学
化学
冶金
物理
热力学
人工智能
机器学习
有机化学
作者
Palash Swarnakar,M. Ghosh,B. Mahato,Partha Sarathi De,Amritendu Roy
标识
DOI:10.1088/1361-6463/ad4db0
摘要
Abstract Method(s) that can reliably predict phase evolution across thermodynamic parameter space, especially in complex systems, are of critical significance in academia as well as in the manufacturing industry. In the present work, the phase stability in an equimolar AlCuFeMn multi-principal-component alloy (MPCA) was predicted using complementary first-principles density functional theory calculations and ab initio molecular dynamics (AIMD) simulations. The temperature evolution of completely disordered, partially ordered, and completely ordered phases was examined based on the Gibbs free energy. Configurational, electronic, vibrational, and lattice mismatch entropies were considered to compute the Gibbs free energy of the competing phases. Additionally, elemental segregation was studied using AIMD. The predicted results at 300 K align well with room-temperature experimental observations using x-ray diffraction and scanning and transmission electron microscopy on a sample prepared using commercially available pure elements. The adopted method could help in predicting plausible phases in other MPCA systems with complex phase stability.
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