Yang, Meiqi, Zhu, Jun-Jie, McGaughey, Allyson L, Priestley, Rodney D, Hoek, Eric_M V, Jassby, David, and Ren, Zhiyong Jason. Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery. Retrieved from https://par.nsf.gov/biblio/10585883. Environmental Science & Technology 58.23 Web. doi:10.1021/acs.est.4c00060.

Yang, Meiqi, Zhu, Jun-Jie, McGaughey, Allyson L, Priestley, Rodney D, Hoek, Eric_M V, Jassby, David, & Ren, Zhiyong Jason. Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery. Environmental Science & Technology, 58 (23). Retrieved from https://par.nsf.gov/biblio/10585883. https://doi.org/10.1021/acs.est.4c00060

Yang, Meiqi, Zhu, Jun-Jie, McGaughey, Allyson L, Priestley, Rodney D, Hoek, Eric_M V, Jassby, David, and Ren, Zhiyong Jason. "Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery". Environmental Science & Technology 58 (23). Country unknown/Code not available: Environmental Science & Technology. https://doi.org/10.1021/acs.est.4c00060. https://par.nsf.gov/biblio/10585883.

@article{osti_10585883,
place = {Country unknown/Code not available}, title = {Machine Learning for Polymer Design to Enhance Pervaporation-Based Organic Recovery}, url = {https://par.nsf.gov/biblio/10585883}, DOI = {10.1021/acs.est.4c00060}, abstractNote = {}, journal = {Environmental Science & Technology}, volume = {58}, number = {23}, publisher = {Environmental Science & Technology}, author = {Yang, Meiqi and Zhu, Jun-Jie and McGaughey, Allyson L and Priestley, Rodney D and Hoek, Eric_M V and Jassby, David and Ren, Zhiyong Jason}, }