Cite
Test set for materials science and engineering with user-friendly graphic tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations
MLA
Zhang, Igor Ying, et al. Test Set for Materials Science and Engineering with User-Friendly Graphic Tools for Error Analysis: Systematic Benchmark of the Numerical and Intrinsic Errors in State-of-the-Art Electronic-Structure Approximations. 2018. EBSCOhost, https://doi.org/10.1088/1367-2630/aaf751.
APA
Zhang, I. Y., Logsdail, A. J., Ren, X., Levchenko, S. V., Ghiringhelli, L., & Scheffler, M. (2018). Test set for materials science and engineering with user-friendly graphic tools for error analysis: Systematic benchmark of the numerical and intrinsic errors in state-of-the-art electronic-structure approximations. https://doi.org/10.1088/1367-2630/aaf751
Chicago
Zhang, Igor Ying, Andrew J. Logsdail, Xinguo Ren, Sergey V. Levchenko, Luca Ghiringhelli, and Matthias Scheffler. 2018. “Test Set for Materials Science and Engineering with User-Friendly Graphic Tools for Error Analysis: Systematic Benchmark of the Numerical and Intrinsic Errors in State-of-the-Art Electronic-Structure Approximations.” doi:10.1088/1367-2630/aaf751.