Rapid life-cycle impact screening using artificial neural networks R Song, AA Keller, S Suh Environmental science & technology 51 (18), 10777-10785, 2017 | 108 | 2017 |
Dynamic model for the stocks and release flows of engineered nanomaterials R Song, Y Qin, S Suh, AA Keller Environmental science & technology 51 (21), 12424-12433, 2017 | 64 | 2017 |
Urban responses to restrictive conservation policy during drought J Palazzo, OR Liu, T Stillinger, R Song, Y Wang, EHT Hiroyasu, J Zenteno, ... Water Resources Research 53 (5), 4459-4475, 2017 | 51 | 2017 |
Accelerating the pace of ecotoxicological assessment using artificial intelligence R Song, D Li, A Chang, M Tao, Y Qin, AA Keller, S Suh Ambio 51 (3), 598-610, 2022 | 19 | 2022 |
OrganoRelease–A framework for modeling the release of organic chemicals from the use and post-use of consumer products M Tao, D Li, R Song, S Suh, AA Keller Environmental Pollution 234, 751-761, 2018 | 18 | 2018 |
Machine learning for addressing data deficiencies in life cycle assessment R Song University of California, Santa Barbara, 2019 | 12 | 2019 |