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Open Knowledgebase of Interatomic Models (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Open Knowledgebase of Interatomic Models" in English language version.

refsWebsite
Global rank English rank
6doi.org
2nd place
2nd place
5semanticscholar.org
11th place
8th place
3arxiv.org
69th place
59th place
2xsede.org
low place
low place
1harvard.edu
18th place
17th place
1nsf.gov
3,828th place
2,823rd place
1datacite.org
low place
low place
1mgi.gov
low place
low place
1materialsproject.org
low place
low place
1openkim.org
low place
low place
1nih.gov
4th place
4th place
1matsci.org
low place
low place

arxiv.org

datacite.org

doi.org

  • Tadmor, E.B.; Elliott, R.S.; Sethna, J.P.; Miller, R.E.; Becker, C.A. (2011). "The Potential of Atomistic Simulations and the Knowledgebase of Interatomic Models". JOM. 63 (17): 17. Bibcode:2011JOM....63g..17T. doi:10.1007/s11837-011-0102-6. S2CID 137499012.
  • Elliott RS, Tadmor EB (2011). "Knowledgebase of Interatomic Models (KIM) Application Programming Interface (API)". doi:10.25950/ff8f563a. {{cite journal}}: Cite journal requires |journal= (help)
  • Wen, Mingjian (March 2022). "KLIFF: A framework to develop physics-based and machine learning interatomic potentials". Computer Physics Communications. 272 (108218): 108218. arXiv:2108.03523. doi:10.1016/j.cpc.2021.108218. S2CID 238259734.
  • Karls, Daniel (July 2020). "The OpenKIM processing pipeline: A cloud-based automatic material property computation engine". Journal of Chemical Physics. 153 (64104): 064104. arXiv:2005.09062. doi:10.1063/5.0014267. PMID 35287439. S2CID 218684972.
  • Reeve, Samuel (July 2019). "Online simulation powered learning modules for materials science". MRS Advances. 4 (50): 2727–2742. arXiv:2004.04297. doi:10.1557/adv.2019.287. S2CID 198818058.
  • Thompson, Aidan (February 2022). "LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales". Computer Physics Communications. 271 (108171): 108171. doi:10.1016/j.cpc.2021.108171. S2CID 240525914.

harvard.edu

ui.adsabs.harvard.edu

  • Tadmor, E.B.; Elliott, R.S.; Sethna, J.P.; Miller, R.E.; Becker, C.A. (2011). "The Potential of Atomistic Simulations and the Knowledgebase of Interatomic Models". JOM. 63 (17): 17. Bibcode:2011JOM....63g..17T. doi:10.1007/s11837-011-0102-6. S2CID 137499012.

materialsproject.org

matsci.org

mgi.gov

nih.gov

pubmed.ncbi.nlm.nih.gov

nsf.gov

openkim.org

semanticscholar.org

api.semanticscholar.org

  • Tadmor, E.B.; Elliott, R.S.; Sethna, J.P.; Miller, R.E.; Becker, C.A. (2011). "The Potential of Atomistic Simulations and the Knowledgebase of Interatomic Models". JOM. 63 (17): 17. Bibcode:2011JOM....63g..17T. doi:10.1007/s11837-011-0102-6. S2CID 137499012.
  • Wen, Mingjian (March 2022). "KLIFF: A framework to develop physics-based and machine learning interatomic potentials". Computer Physics Communications. 272 (108218): 108218. arXiv:2108.03523. doi:10.1016/j.cpc.2021.108218. S2CID 238259734.
  • Karls, Daniel (July 2020). "The OpenKIM processing pipeline: A cloud-based automatic material property computation engine". Journal of Chemical Physics. 153 (64104): 064104. arXiv:2005.09062. doi:10.1063/5.0014267. PMID 35287439. S2CID 218684972.
  • Reeve, Samuel (July 2019). "Online simulation powered learning modules for materials science". MRS Advances. 4 (50): 2727–2742. arXiv:2004.04297. doi:10.1557/adv.2019.287. S2CID 198818058.
  • Thompson, Aidan (February 2022). "LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales". Computer Physics Communications. 271 (108171): 108171. doi:10.1016/j.cpc.2021.108171. S2CID 240525914.

xsede.org