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Cited by 666

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Density-functional theory calculations for poly-atomic systems: electronic structure, static and elastic properties and ab initio molecular dynamics

Open access
Bockstedte, Michel, Kley, Alexander, Neugebauer, Jörg, Scheffler, Matthias·1997·Computer Physics Communications

Abstract

Abstract The package fhi96md is an efficient code to perform density-functional theory total-energy calculations for materials ranging from insulators to transition metals. The package employs first-principles pseudopotentials, and a plane-wave basis-set. For exchange and correlation both the local density and generalized gradient approximations are implemented. The code has a low storage demand and performs efficiently on low budget personal computers as well as high performance computers.

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Crossref · 10.1016/s0010-4655(97)00117-3

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Metadata

Authors
Bockstedte, M., Kley, A., Neugebauer, J., & Scheffler, M.
Venue
Computer Physics Communications
Publisher
Elsevier BV
Published
1997-12
Volume
107
Issue
1-3
Pages
187-222
ISSN
0010-4655 (ISSN-L)
OpenAlex
W2086633026
Cited by
666
References
36
FWCI
33.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Density-functional theory calculations for poly-atomic systems: electronic structure, static and elastic properties and ab initio molecular dynamics. https://app.cochat.ai/papers/10.1016/s0010-4655(97)00117-3
The paper
Bockstedte, M., Kley, A., Neugebauer, J., & Scheffler, M. (1997). Density-functional theory calculations for poly-atomic systems: electronic structure, static and elastic properties and ab initio molecular dynamics. Computer Physics Communications. https://doi.org/10.1016/s0010-4655(97)00117-3

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.