Tag: predictive models

Designing solvent systems using self-evolving solubility databases and graph neural networks, Yeonjoon Kim, Hojin Jung, Sabari Kumar, Robert S. Paton, Seonah Kim†, Chem. Sci. DOI: 10.1039/D3SC03468B (Accepted 2023)

Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis Yeonjoon Kim, Jaeyoung Cho, Nimal Naser, Sabari Kumar, Keunhong Jeong, Robert L. McCormick, Peter C. St. John, Seonah Kim, Proc. Comb. Inst., 39, 4, 4969-4978 (2023)

Bioderived ether design for low emission and high reactivity transport fuels. Jaeyoung Cho, Yeonjoon Kim, Brian D. Etz, Gina M. Fioroni, Nimal Naser, Junqing Zhu, Zhanhong Xiang, Cameron Hays, Juan V. Alegre-Requena, Peter C. St John, Bradley T. Zigler, Charles S. McEnally, Lisa D. Pfefferle, Robert L. McCormick, Seonah Kim, Sustainable Energy and Fuels, 6, 3975-3988 (2022)

Prediction of gas-phase homolytic bond dissociation energies at near chemical accuracy with sub-second computational cost, Peter C. St. John, Yanfei Guan, Yeonjoon Kim, Seonah Kim, Robert S. Paton, Nature Comm., 11, 2328 (2020).

Towards quantitative prediction of ignition-delay-time sensitivity on fuel-to-air equivalence-ratio, Richard A. Messerly, Mohammad J. Rahimi, Peter C. St. John, Jon H. Luecke, Ji-Woong Park, Nabila A. Huq, Thomas D. Foust, Tianfeng Lu, Bradley T. Zigler, Robert L. McCormick, Seonah Kim, Combustion and Flame, 214, 103-115 (2020).

Performance-Advantaged Ether Diesel Bioblendstock Production by a priori Design, Nabila A. Huq, Xiangchen Huo, Glenn R. Hafenstine, Stephen M. Tifft, Jim Stunkel, Earl D. Christensen, Gina M. Fioroni, Lisa Fouts, Robert L. McCormick, Matthew R. Wiatrowski, Mary J. Biddy, Teresa L. Alleman, Raynella M. Connatser, Michael D. Kass, Patrick A. Cherry, Charles S. McEnally, Lisa D. Pfefferle, Peter St. John, Seonah Kim, Derek R. Vardon, PNAS, 116, 52, 26421-26430 (2019).

Tailoring Diesel Bioblendstock from Integrated Catalytic Upgrading of Carboxylic Acids: A “Fuel Property First” Approach, Xiangchen Huo, Nabila A. Huq, Jim Stunkel, Nicholas S. Cleveland, Anne K. Starace, Amy E. Settle, Allyson M. York, Robert S. Nelson, David G. Brandner, Lisa Fouts, Peter C. St. John, Earl D. Christensen, Jon Luecke, J. Hunter Mack, Charles S. McEnally, Patrick A. Cherry, Lisa D. Pfefferle, Timothy J. Strathmann, Davinia Salvachúa, Seonah Kim, Robert L. McCormick, Gregg T. Beckham, Derek R. Vardon, Green Chem., 21, 5813-5827 (2019)

Measuring and Predicting Sooting Tendencies of Oxygenates, Alkanes, Alkenes, Cycloalkanes, and Aromatics on a Unified Scale, Dhruhajyoti D. Das, Peter St. John, Charles S. McEnally, Seonah Kim, Lisa D. Pfefferle, Combustion and Flame, 190, 349-364 (2018).

A quantitative model for the prediction of sooting tendency from molecular structure, Peter C. St John, Paul Kairys, Dhrubajyoti D. Das, Charles S. McEnally, Lisa D. Pfefferle, David J. Robichaud, Mark R. Nimlos, Bradley T. Zigler, Robert L. McCormick, Thomas D. Foust, Yannick J. Bomble, and Seonah Kim†, Energy & Fuels, 31 (9), 9983-9990 (2017).