المؤلفون: Maya Salem (11000792), Michael J. Cowan (7124939), Giannis Mpourmpakis (1452985)

مصطلحات موضوعية: Biochemistry, Medicine, Ecology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, show great promise, one main approach, machine learning methodology, density functional theory, predicting segregation energy, probe saa stability, saa segregation energies, physically motivated features, active catalytic site, saa catalyst design, screen metal segregation, surface segregation energy, seg , previously developed bond, nps ), ranging, predict segregation energies, dft segregation energies, saa periodic slabs, various surface facets, five features used, metal segregation, periodic slabs, features used

Relation: https://figshare.com/articles/journal_contribution/Predicting_Segregation_Energy_in_Single_Atom_Alloys_Using_Physics_and_Machine_Learning/19082721

الاتاحة: https://doi.org/10.1021/acsomega.1c06337.s001