Townsend, Jacob, Micucci, Cassie Putman, Hymel, John H., Maroulas, Vasileios, and Vogiatzis, Konstantinos D. Representation of molecular structures with persistent homology for machine learning applications in chemistry. Retrieved from https://par.nsf.gov/biblio/10165328. Nature Communications 11.1 Web. doi:10.1038/s41467-020-17035-5.

Townsend, Jacob, Micucci, Cassie Putman, Hymel, John H., Maroulas, Vasileios, & Vogiatzis, Konstantinos D. Representation of molecular structures with persistent homology for machine learning applications in chemistry. Nature Communications, 11 (1). Retrieved from https://par.nsf.gov/biblio/10165328. https://doi.org/10.1038/s41467-020-17035-5

Townsend, Jacob, Micucci, Cassie Putman, Hymel, John H., Maroulas, Vasileios, and Vogiatzis, Konstantinos D. "Representation of molecular structures with persistent homology for machine learning applications in chemistry". Nature Communications 11 (1). Country unknown/Code not available. https://doi.org/10.1038/s41467-020-17035-5. https://par.nsf.gov/biblio/10165328.

@article{osti_10165328,
place = {Country unknown/Code not available}, title = {Representation of molecular structures with persistent homology for machine learning applications in chemistry}, url = {https://par.nsf.gov/biblio/10165328}, DOI = {10.1038/s41467-020-17035-5}, abstractNote = {}, journal = {Nature Communications}, volume = {11}, number = {1}, author = {Townsend, Jacob and Micucci, Cassie Putman and Hymel, John H. and Maroulas, Vasileios and Vogiatzis, Konstantinos D.}, }