Xinming Lin

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PNNL Publications

Hou Z., N.D. Ward, A.N. Myers-Pigg, X. Lin, S.R. Waichler, C.A. Wiese Moore, and M.J. Norwood, et al. 2024. "Quantifying Drivers of Methane Hydrobiogeochemistry in a Tidal River Floodplain System." Water 16, no. 1:Art. No. 171. PNNL-SA-158802. doi:10.3390/w16010171

Lin X., and Z. Hou. 2023. An Inventory of AI-ready Benchmark Data for US Fires, Heatwaves, and Droughts. PNNL-34891. Richland, WA: Pacific Northwest National Laboratory. An Inventory of AI-ready Benchmark Data for US Fires, Heatwaves, and Droughts
Lin X., J. Fan, Z. Hou, and J. Wang. 2023. "Machine Learning of Key Variables Impacting Extreme Precipitation in Various Regions of the Contiguous United States." Journal of Advances in Modeling Earth Systems 15, no. 3:Art. No. e2022MS003334. PNNL-SA-183247. doi:10.1029/2022MS003334
Song X., H. Ren, Z. Hou, X. Lin, M. Karanovic, M.J. Tonkin, and V.L. Freedman, et al. 2023. "Predicting Future Well Performance for Environmental Remediation Design using Deep Learning." Journal of Hydrology 617, no. Part C:Art. No. 129110. PNNL-SA-178074. doi:10.1016/j.jhydrol.2023.129110
Song X., P.K. Tran, X. Lin, J.L. Fanning, D.I. Demirkanli, and C.D. Johnson. 2023. An Online Prototype Toolset for Predicting and Optimizing P&T Performance FY23 Status Report. PNNL-34982. Richland, WA: Pacific Northwest National Laboratory. An Online Prototype Toolset for Predicting and Optimizing P&T Performance FY23 Status Report

Ren H., X. Yu, X. Lin, H. Hou, J. Son, H. Zhou, and P.D. Royer. 2022. Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning. PNNL-33835. Richland, WA: Pacific Northwest National Laboratory. Enhancing Risk Analysis of Accidental Release Using CFD Modeling and Machine Learning

Lin X., H. Ren, A.E. Goldman, J.C. Stegen, and T.D. Scheibe. 2020. "WHONDRS-GUI: A Web Application for Global Survey of Surface Water Metabolites." PeerJ 8. PNNL-SA-142949. doi:10.7717/peerj.9277

Fu T., X. Lin, Z. Hou, and Z. Deng. 2019. "Integrating Hybrid-Clustering and Localized Regression for Time Synchronization of a Hierarchical Underwater Acoustic Sensor Array." In OCEANS 2019 MTS/IEEE, October 27-31, 2019, Seattle, WA. Piscataway, New Jersey:IEEE. PNNL-SA-147446. doi:10.23919/OCEANS40490.2019.8962752
Lin X., Z. Hou, H. Ren, and F. Pan. 2019. "Approximate Mixed-Integer Programming Solution with Machine Learning Technique and Linear Programming Relaxation." In The 3rd International Conference on Smart Grid and Smart Cities, 101-107. Berkeley, California:IEEE. PNNL-SA-141126. doi:10.1109/ICSGSC.2019.00-11