Nguyen, Thuong T., Székely, Eszter, Imbalzano, Giulio, Behler, Jörg, Csányi, Gábor, Ceriotti, Michele, Götz, Andreas W., and Paesani, Francesco. Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions. The Journal of Chemical Physics 148.24 Web. doi:10.1063/1.5024577.

Nguyen, Thuong T., Székely, Eszter, Imbalzano, Giulio, Behler, Jörg, Csányi, Gábor, Ceriotti, Michele, Götz, Andreas W., & Paesani, Francesco. Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions. The Journal of Chemical Physics, 148 (24). https://doi.org/10.1063/1.5024577

Nguyen, Thuong T., Székely, Eszter, Imbalzano, Giulio, Behler, Jörg, Csányi, Gábor, Ceriotti, Michele, Götz, Andreas W., and Paesani, Francesco. "Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions". The Journal of Chemical Physics 148 (24). United States: American Institute of Physics. https://doi.org/10.1063/1.5024577. https://par.nsf.gov/biblio/10056196.

@article{osti_10056196,
place = {United States}, title = {Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through many-body expansions}, url = {https://par.nsf.gov/biblio/10056196}, DOI = {10.1063/1.5024577}, abstractNote = {Not Available}, journal = {The Journal of Chemical Physics}, volume = {148}, number = {24}, publisher = {American Institute of Physics}, author = {Nguyen, Thuong T. and Székely, Eszter and Imbalzano, Giulio and Behler, Jörg and Csányi, Gábor and Ceriotti, Michele and Götz, Andreas W. and Paesani, Francesco}, }