Implementing numerical algorithms to optimize the parameters in Kampmann-Wagner Numerical(KWN)precipitation models  

作　　者：Taiwu Yu Adam Hope Paul Mason 

机构地区：[1]Thermo-Calc Software Inc.,4160 Washington Rd,Suite 230,Canonsburg,PA,15317,USA

出　　处：《npj Computational Materials》2024年第1期770-784,共15页计算材料学(英文)

摘　　要：The Kampmann–Wagner Numerical(KWN)model of precipitation is a powerful tool to simulate the precipitation of the second phase considering the nucleation,growth,and coarsening.Some quantities such as interfacial energy and nucleation site number density are required to accomplish the simulation.Practically,those quantities are hard to measure in the experiment directly,and the derivation of those quantities through modeling can also be costly.In this work,we hereby adopt the minimization algorithm implemented in the open-source Scipy Python package to derive that important information in terms of very limited experimental data.

关 键 词：QUANTITIES PRECIPITATION NUMERICAL 

分 类 号：TG1[金属学及工艺—金属学]