scholarly journals Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization

Author(s):  
Aline Jaimes ◽  
Craig Tweedy ◽  
Tanja Magoc ◽  
Vladik Kreinovich ◽  
Martine Ceberio
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Xu Zhang ◽  
Hoang Nguyen ◽  
Jeffrey T. Paci ◽  
Subramanian K. R. S. Sankaranarayanan ◽  
Jose L. Mendoza-Cortes ◽  
...  

AbstractThis investigation presents a generally applicable framework for parameterizing interatomic potentials to accurately capture large deformation pathways. It incorporates a multi-objective genetic algorithm, training and screening property sets, and correlation and principal component analyses. The framework enables iterative definition of properties in the training and screening sets, guided by correlation relationships between properties, aiming to achieve optimal parametrizations for properties of interest. Specifically, the performance of increasingly complex potentials, Buckingham, Stillinger-Weber, Tersoff, and modified reactive empirical bond-order potentials are compared. Using MoSe2 as a case study, we demonstrate good reproducibility of training/screening properties and superior transferability. For MoSe2, the best performance is achieved using the Tersoff potential, which is ascribed to its apparent higher flexibility embedded in its functional form. These results should facilitate the selection and parametrization of interatomic potentials for exploring mechanical and phononic properties of a large library of two-dimensional and bulk materials.


Author(s):  
Zuhayer Mahtab ◽  
Abdullahil Azeem ◽  
Syed Mithun Ali ◽  
Sanjoy Kumar Paul ◽  
Amir Mohammad Fathollahi-Fard

1998 ◽  
Vol 49 (10) ◽  
pp. 1044 ◽  
Author(s):  
E. L. Ulungu ◽  
J. Teghem ◽  
Ch. Ost

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