Staff information

Nellie Ciesielski

Data Scientist
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Ciesielski D.K., Y. Li, S. Hu, E. King, J.F. Corbey, and P. Stinis. 2025. "Deep operator network surrogate for phase-field modeling of metal grain growth during solidification." Computational Materials Science 246, no. _:Art. No. 113417. PNNL-SA-198433. doi:10.1016/j.commatsci.2024.113417

Nguyen J.H., R.E. Overstreet, E. King, and D.K. Ciesielski. 2024. "Advancing the Prediction of MS/MS Spectra using Machine Learning." Journal of the American Society for Mass Spectrometry 35, no. 10:2256-2266. PNNL-SA-197287. doi:10.1021/jasms.4c00154
Overstreet R.E., E. King, G.P. Clopton, J.H. Nguyen, and D.K. Ciesielski. 2024. "QC-GN2oMS2: a Graph Neural Net for High Resolution Mass Spectra Prediction." Journal of Chemical Information and Modeling 64, no. 15:5806-5816. PNNL-SA-195950. doi:10.1021/acs.jcim.4c00446

Athon M.T., D.K. Ciesielski, J.F. Corbey, S. Hu, E. King, Y. Li, and J.I. Royer, et al. 2023. Visualizing Uranium Crystallization from Melt: Experiment-Informed Phase Field Modeling and Machine Learning. PNNL-35126. Richland, WA: Pacific Northwest National Laboratory. Visualizing Uranium Crystallization from Melt: Experiment-Informed Phase Field Modeling and Machine Learning

King E., R.E. Overstreet, J.H. Nguyen, and D.K. Ciesielski. 2022. "Augmentation of MS/MS Libraries with Spectral Interpolation for Improved Identification." Journal of Chemical Information and Modeling 62. PNNL-SA-173200. doi:10.1021/acs.jcim.2c00620
Wenskovitch J.E., A.A. Anderson, S. Kincic, C. Fallon, D.K. Ciesielski, J.A. Baweja, and M.C. Mersinger, et al. 2022. "Operator Insights and Usability Evaluation of Machine Learning Assistance for Power Grid Contingency Analysis." In Human Factors in Energy: Oil, Gas, Nuclear and Electric Power. AHFE (2022) International Conference., July 24-28, 2022, New York, NY, edited by R. Boring and R. McDonald, 54, 40-48. New York, New York:AHFE International. PNNL-SA-170435. doi:10.54941/ahfe1002219
Wenskovitch J.E., B.A. Jefferson, A.A. Anderson, J.A. Baweja, D.K. Ciesielski, and C. Fallon. 2022. "A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis." Frontiers in Big Data 5. PNNL-SA-171158. doi:10.3389/fdata.2022.897295