Neumann, P., Cao, L., Russo, D., Vassiliadis, V. S., & Lapkin, A. A. (2020). A new formulation for symbolic regression to identify physico-chemical laws from experimental data. Chemical engineering journal (Lausanne, Switzerland : 1996), 387, 123412. https://doi.org/10.1016/j.cej.2019.123412
Chicago Style (17th ed.) CitationNeumann, Pascal, Liwei Cao, Danilo Russo, Vassilios S. Vassiliadis, and Alexei A. Lapkin. "A New Formulation for Symbolic Regression to Identify Physico-chemical Laws from Experimental Data." Chemical Engineering Journal (Lausanne, Switzerland : 1996) 387 (2020): 123412. https://doi.org/10.1016/j.cej.2019.123412.
MLA (9th ed.) CitationNeumann, Pascal, et al. "A New Formulation for Symbolic Regression to Identify Physico-chemical Laws from Experimental Data." Chemical Engineering Journal (Lausanne, Switzerland : 1996), vol. 387, 2020, p. 123412, https://doi.org/10.1016/j.cej.2019.123412.