Invariant surface elastic properties in FCC metals and their correlation to bulk properties revealed by machine learning methods

Author:

Chen Xiaolei,Dingreville RémiORCID,Richeton ThiebaudORCID,Berbenni Stéphane

Funder

French National Research Agency

Sandia National Laboratories

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Reference57 articles.

1. Semi-empirical calculation of solid surface tensions in body-centred Cubic transition metals;Ackland;Phil. Mag. A,1986

2. Anon,, Matlab: Fit data with a shallow neural network. URL https://ww2.mathworks.cn/help/deeplearning/gs/fit-data-with-a-neural-network.html?lang=en.

3. Molecular dynamics simulations of the formation of Ag nanoparticles assisted by PVP;Balbuena;Phys. Chem. Chem. Phys.,2021

4. Phenomenology of the heating, melting and diffusion processes in Au nanoparticles;Bertoldi;Phys. Chem. Chem. Phys.,2021

5. Surface-chemistry-driven actuation in nanoporous gold;Biener;Nature Mater.,2009

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