Stewart, Matthew P., and Martin, Scot T. Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds. ACS Earth and Space Chemistry 7.4 Web. doi:10.1021/acsearthspacechem.3c00009.

Stewart, Matthew P., & Martin, Scot T. Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds. ACS Earth and Space Chemistry, 7 (4). https://doi.org/10.1021/acsearthspacechem.3c00009

Stewart, Matthew P., and Martin, Scot T. "Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds". ACS Earth and Space Chemistry 7 (4). Country unknown/Code not available: American Chemical Society. https://doi.org/10.1021/acsearthspacechem.3c00009. https://par.nsf.gov/biblio/10405596.

@article{osti_10405596,
place = {Country unknown/Code not available}, title = {Machine Learning for Ionization Potentials and Photoionization Cross Sections of Volatile Organic Compounds}, url = {https://par.nsf.gov/biblio/10405596}, DOI = {10.1021/acsearthspacechem.3c00009}, abstractNote = {Not Available}, journal = {ACS Earth and Space Chemistry}, volume = {7}, number = {4}, publisher = {American Chemical Society}, author = {Stewart, Matthew P. and Martin, Scot T.}, }