Qin, Y., & Suh, S. (2017). What distribution function do life cycle inventories follow?. The International Journal of Life Cycle Assessment, 22(7), 1138-1145. American Center for Life Cycle Assessment XVI Conference. Charleston SC, USA.
Song, R., Li, D., Tao, M., Chang, A., Qin, Y., Keller, A.A., & Suh, S. (2017). Estimating Species Sensitivity Distributions (SSDs) using Quantitative Structure–Activity Relationships (QSARs) for Organic Chemicals. 38th Annual Meeting of Society of Environmental Toxicology and Chemistry. Minneapolis MN, USA.
Qin, Y., Yang, Y., Cucurachi, S., Bergesen, J., & Suh, S. (2017). Where Would the Potato Be Grown? Understanding the Potential Consumption of Large-scale Dietary Shift. Joint Conference ISIE and ISSST. Chicago IL, USA.
Song, R., Qin, Y., Suh, S., & Keller, A. A. (2017). Dynamic Model for the Stocks and Release Flows of Engineered Nanomaterials. SNO. Los Angeles CA, USA.
Song, R., Qin, Y., Backmann, M., Cucurachi, S., & Suh, S. (2017). Strategy for Developing Gate-to- Gate Chemical Life-Cycle Inventory. GRC. Stowe VT, USA.
Song, R., Tao, M., Li, D., Suh, S., & Keller, A. A. (2016). Predicting Functional Uses of Chemicals in Consumer Products, QSAR. Miami FL, USA. Presented by Mengya Tao.
Garner, K., Suh, S., Lenihan, H., & Keller, A. A. (2015). Species Sensitivity Distributions for Engineered Nanomaterials. Env. Sci. & Tech. 49(9). 5753–5759.
Tao, M., Li, D., Keller, A. A., & Suh, S. (2015). Applying QSAR Models in a holistic rapid assessment of chemical life cycle impact. Miami FL, USA.
Song, R., & Suh, S. (2015) Strategies for Predictive Chemical LCIs Using Artificial Neural Network, ACLCA. Vancouver, Canada.