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The atomic simulation environment—a Python library for working with atoms

Journal of Physics Condensed Matter · 2017 · Vol. 29(27) · pp. 273002–273002
Ask Hjorth LarsenJens Jørgen MortensenJakob BlomqvistIvano E. CastelliRune ChristensenMarcin DułakJesper FriisMichael N. GrovesBjørk HammerCory HargusEric HermesPaul C. JenningsP. JensenJames R. KermodeJohn R. KitchinEsben L. KolsbjergJoseph KubalKristen KaasbjergSteen LysgaardJón Bergmann MaronssonTristan MaxsonThomas OlsenLars PastewkaAndrew A. PetersonC. RostgaardJakob SchiøtzOle SchüttMikkel StrangeKristian S. ThygesenTejs VeggeLasse B. VilhelmsenMichael WalterZhenhua ZengKarsten W. Jacobsen

Abstract

The atomic simulation environment (ASE) is a software package written in the Python programming language with the aim of setting up, steering, and analyzing atomistic simulations. In ASE, tasks are fully scripted in Python. The powerful syntax of Python combined with the NumPy array library make it possible to perform very complex simulation tasks. For example, a sequence of calculations may be performed with the use of a simple 'for-loop' construction. Calculations of energy, forces, stresses and other quantities are performed through interfaces to many external electronic structure codes or force fields using a uniform interface. On top of this calculator interface, ASE provides modules for performing many standard simulation tasks such as structure optimization, molecular dynamics, handling of constraints and performing nudged elastic band calculations.

Machine Learning in Materials ScienceMolecular Junctions and NanostructuresSurface Chemistry and CatalysisPython (programming language)CalculatorComputer scienceComputational scienceSoftwareMolecular dynamicsProgramming languageGraphical user interfaceChemistryComputational chemistry

Funding

  • Villum Fonden
  • European Commission
  • Deutsche Forschungsgemeinschaft
  • Horizon 2020 Framework Programme
  • Engineering and Physical Sciences Research Council
Citations
4,399
FWCI
104.62
field-weighted impact
References
148
Percentile
100%
vs. same field & year
Citations per year
References
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