| Artificial neural network for predicting cetane number of biofuel candidates based on molecular structure T Sennott, C Gotianun, R Serres, M Ziabasharhagh, JH Mack, R Dibble Internal Combustion Engine Division Fall Technical Conference 56109, V002T02A009, 2013 | 15 | 2013 |
| Nanosecond pulsed discharge ignition in a lean methane-air mixture DI Pineda, B Wolk, T Sennott, JY Chen, RW Dibble, D Singleton Laser Ignition Conference, T5A. 2, 2015 | 14 | 2015 |
| Recirculating noble gas internal combustion power cycle RW Dibble, MS Aznar, TB Sennott, JY Chen US Patent 10,830,185, 2020 | 13 | 2020 |
| The role of hydrodynamic enhancement on ignition of lean methane-air mixtures by pulsed nanosecond discharges for automotive engine applications DI Pineda, B Wolk, T Sennott, JY Chen, RW Dibble, D Singleton Combustion Science and Technology 189 (11), 2023-2037, 2017 | 6 | 2017 |
| Cetane Number Prediction from Molecular Structure Using Artificial Neural Networks T Sennott, C Gotianun, R Serres, JH Mack, R Dibble 8th US National Combustion Meeting, 2013 | 1 | 2013 |
| LDRD 173664: Predictive Engineering Tools for Novel Fuels. MP Musculus, T Sennott, CA Taatjes, PC Miles, R Dibble Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2016 | | 2016 |
| LASER IGNITION CONFERENCE, LIC 2015 AA Tropina, YG Vovk, S O'Byrne, H Kleine, S Brieschenk, KM Rahman, ... | | 2015 |
| Nanosecond Pulsed Discharge Ignition in Lean Methane-Air Mixtures at Near-Atmospheric Pressures DI Pineda, B Wolk, T Sennott, JY Chen, RW Dibble, D Singleton | | |
