Style de citation APA

Unzueta, P. A., & Beran, G. J. O. (2020). Polarizable continuum models provide an effective electrostatic embedding model for fragment-based chemical shift prediction in challenging systems. Journal of computational chemistry, 41(26), 2251. https://doi.org/10.1002/jcc.26388

Style de citation Chicago

Unzueta, Pablo A., et Gregory J O. Beran. "Polarizable Continuum Models Provide an Effective Electrostatic Embedding Model for Fragment-based Chemical Shift Prediction in Challenging Systems." Journal of Computational Chemistry 41, no. 26 (2020): 2251. https://dx.doi.org/10.1002/jcc.26388.

Style de citation MLA

Unzueta, Pablo A., et Gregory J O. Beran. "Polarizable Continuum Models Provide an Effective Electrostatic Embedding Model for Fragment-based Chemical Shift Prediction in Challenging Systems." Journal of Computational Chemistry, vol. 41, no. 26, 2020, p. 2251.