Show simple item record

dc.contributorUniversity of Wisconsin-Madisonen_US
dc.contributor.authorAngsten, Thomas
dc.contributor.authorMayeshiba, Tam
dc.contributor.authorWu, Henry
dc.contributor.authorMorgan, Dane
dc.contributor.otherddmorgan@wisc.eduen_US
dc.date.accessioned2014-08-08T17:26:45Z
dc.date.available2014-08-08T17:26:45Z
dc.date.issued2014-08-08
dc.identifier.citationAngsten T et al (2014) Elemental vacancy diffusion database from high-throughput first-principles calculations for fcc and hcp structures. New J. Phys. 16 015018
dc.identifier.urihttp://hdl.handle.net/11256/76
dc.description.abstractThis work demonstrates how databases of diffusion-related properties can be developed from high-throughput ab initio calculations. The formation and migration energies for vacancies of all adequately stable pure elements in both the face-centered cubic (fcc) and hexagonal close packing (hcp) crystal structures were determined using ab initio calculations. For hcp migration, both the basal plane and z-direction nearest-neighbor vacancy hops were considered. Energy barriers were successfully calculated for 49 elements in the fcc structure and 44 elements in the hcp structure. These data were plotted against various elemental properties in order to discover significant correlations. The calculated data show smooth and continuous trends when plotted against Mendeleev numbers. The vacancy formation energies were plotted against cohesive energies to produce linear trends with regressed slopes of 0.317 and 0.323 for the fcc and hcp structures respectively. This result shows the expected increase in vacancy formation energy with stronger bonding. The slope of approximately 0.3, being well below that predicted by a simple fixed bond strength model, is consistent with a reduction in the vacancy formation energy due to many-body effects and relaxation. Vacancy migration barriers are found to increase nearly linearly with increasing stiffness, consistent with the local expansion required to migrate an atom. A simple semi-empirical expression is created to predict the vacancy migration energy from the lattice constant and bulk modulus for fcc systems, yielding estimates with errors of approximately 30%. Data notes: Migration barriers may be extracted from NEB static energies (OSZICAR files). Uncorrected vacancy formation energies may be extracted from ep1_static energies compared to bulk_static energies. No POTCAR files are included in the data, but are required for data reproduction. Each OUTCAR file will contain information about the pseudopotential used.en_US
dc.description.sponsorshipFinancial support for Thomas Angsten provided by the US Department of Energy (DOE) Nuclear Engineering University Program (NEUP) program under grant no. 10-888. Financial support for Tam Mayeshiba provided by the National Science Foundation (NSF) Graduate Fellowship Program under grant no. DGE-0718123. Financial support for Dane Morgan, Henry Wu and travel, materials and supplies provided by NSF Software Infrastructure for Sustained Innovation (SI2), award no. 1148011. MAST was developed at the University of Wisconsin- Madison under NSF award no. 1148011. This research used resources of the National Energy Research Scientific Computing Center (NERSC), which is supported by the Office of Science of the US Department of Energy under contract no. DE-AC02-05CH11231. NERSC computational resources were provided through the Center for Nanophase Materials Sciences, which is sponsored at Oak Ridge National Laboratory by the Scientific User Facilities Division, Office of Basic Energy Sciences, US Department of Energy.en_US
dc.relation.urihttp://dx.doi.org/10.1088/1367-2630/16/1/015018en_US
dc.subjectComputational File Repository Categories::METHODS::First Principlesen_US
dc.subjectComputational File Repository Categories::PHASES::FCC_A1en_US
dc.subjectComputational File Repository Categories::PHASES::HCP_A3en_US
dc.subjectComputational File Repository Categories::PROPERTY CLASSES::Kinetics::Diffusion::Intrinsic Diffusionen_US
dc.subjectAcen_US
dc.subjectAgen_US
dc.subjectAlen_US
dc.subjectAren_US
dc.subjectAuen_US
dc.subjectBaen_US
dc.subjectBeen_US
dc.subjectCaen_US
dc.subjectCden_US
dc.subjectCeen_US
dc.subjectCoen_US
dc.subjectCsen_US
dc.subjectCuen_US
dc.subjectDyen_US
dc.subjectEren_US
dc.subjectFeen_US
dc.subjectGaen_US
dc.subjectGeen_US
dc.subjectHeen_US
dc.subjectHfen_US
dc.subjectHoen_US
dc.subjectInen_US
dc.subjectIren_US
dc.subjectKen_US
dc.subjectComputational File Repository Categories::PROPERTY CLASSES::Thermodynamicsen_US
dc.subjectKren_US
dc.subjectLaen_US
dc.subjectLien_US
dc.subjectMgen_US
dc.subjectMnen_US
dc.subjectNaen_US
dc.subjectNien_US
dc.subjectOsen_US
dc.subjectPaen_US
dc.subjectPben_US
dc.subjectPden_US
dc.subjectPren_US
dc.subjectPten_US
dc.subjectRben_US
dc.subjectReen_US
dc.subjectRhen_US
dc.subjectRuen_US
dc.subjectScen_US
dc.subjectSnen_US
dc.subjectSren_US
dc.subjectTaen_US
dc.subjectTben_US
dc.subjectTcen_US
dc.subjectThen_US
dc.subjectTien_US
dc.subjectTlen_US
dc.subjectWen_US
dc.subjectXeen_US
dc.subjectYen_US
dc.subjectZren_US
dc.subjectBien_US
dc.subjectCren_US
dc.subjectMoen_US
dc.subjectNben_US
dc.subjectNeen_US
dc.subjectPen_US
dc.subjectSien_US
dc.subjectTeen_US
dc.subjectVen_US
dc.subjectZnen_US
dc.titleElemental vacancy diffusion for fcc and hcp structuresen_US
dc.typeDataseten_US
dc.typeDiffusion Mobilitiesen_US


Files in this item

This item appears in the following Collection(s)

Show simple item record