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A general purpose Gaussian Approximation Potential (GAP) [1,2] for iron. The training database has been computed at the PBE level of theory [3] using the VASP code [4-7]. Fitting of the potentials was done using QUIP/GAP [1,2,8]. The potential uses 2-body (distance_2b), 3-body (angle_3b) and SOAP (soap_turbo) [9,10] descriptors, as implemented in the TurboGAP code [11]. All files necessary to use the potential QUIP/GAP (compiled with the TurboGAP libraries) are in QUIP_files.tar.gz, all files to use with TurboGAP in TurboGAP_files.tar.gz. The database used to train the potential is in training_database.tar.gz. More details can be found in this publication: Searching for iron nanoparticles with a general-purpose Gaussian approximation potential Richard Jana, Miguel A. Caro https://doi.org/10.1103/PhysRevB.107.245421 The authors are grateful to the Academy of Finland for financial support under projects #321713 (R. J. & M.A. C.) and #330488 (M.A. C.), and CSC -- IT Center for Science as well as Aalto University's Science-IT Project for computational resources.
{"references": ["[1] A.P. Bart\u00f3k, M.C. Payne, R. Kondor, and G. Cs\u00e1nyi. Phys. Rev. Lett. 104, 136403 (2010)", "[2] A.P. Bart\u00f3k and G. Cs\u00e1nyi, \"Gaussian approximation potentials: A brief tutorial introduction,\" Int. J. Quantum Chem. 115, 1051 (2015)", "[3] J.P. Perdew, K. Burke, and M. Ernzerhof. Phys Rev. Lett. 77, 3865 (1996)", "[4] G. Kresse and J. Hafner, Physical Review B 47, 558\u2013561 (1993)", "[5] G. Kresse and J. Furthm\u00fcller, Computational Materials Science 6, 15\u201350 (1996)", "[6] G Kresse and J Furthm\u00fcller, Physical Review B 54, 11 169 (1996)", "[7] VASP: http://vasp.at", "[8] LibAtoms: https://libatoms.github.io", "[9] A.P. Bart\u00f3k, R. Kondor, and G. Cs\u00e1nyi. Phys. Rev. B 87, 184115 (2013)", "[10] M.A. Caro. Phys. Rev. B 100, 024112 (2019)", "[11] TurboGAP: http://turbogap.fi"]}
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