| A deep learning architecture for metabolic pathway prediction M Baranwal, A Magner, P Elvati, J Saldinger, A Violi, AO Hero Bioinformatics 36 (8), 2547-2553, 2020 | 83 | 2020 |
| Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions M Baranwal, A Magner, J Saldinger, ES Turali-Emre, P Elvati, ... BMC bioinformatics 23 (1), 370, 2022 | 33 | 2022 |
| Molecular structures in flames: A comparison between SNapS2 and recent AFM results Q Wang, JC Saldinger, P Elvati, A Violi Proceedings of the Combustion Institute 38 (1), 1133-1141, 2021 | 17 | 2021 |
| Characterizing the diversity of aromatics in a coflow diffusion Jet A-1 surrogate flame JC Saldinger, Q Wang, P Elvati, A Violi Fuel 268, 117198, 2020 | 17 | 2020 |
| Insights on the effect of ethanol on the formation of aromatics Q Wang, JC Saldinger, P Elvati, A Violi Fuel 264, 116773, 2020 | 8 | 2020 |
| Stochastic and network analysis of polycyclic aromatic growth in a coflow diffusion flame JC Saldinger, P Elvati, A Violi Physical Chemistry Chemical Physics 23 (7), 4326-4333, 2021 | 6 | 2021 |
| Exploring soot inception rate with stochastic modelling and machine learning L Di Liddo, JC Saldinger, M Jadidi, P Elvati, A Violi, SB Dworkin Combustion and Flame 258, 112375, 2023 | 5 | 2023 |
| Domain-agnostic predictions of nanoscale interactions in proteins and nanoparticles JC Saldinger, M Raymond, P Elvati, A Violi Nature Computational Science 3 (5), 393-402, 2023 | 5 | 2023 |
| A machine learning framework to predict the aggregation of polycyclic aromatic compounds JC Saldinger, P Elvati, A Violi Proceedings of the Combustion Institute 39 (1), 1009-1017, 2023 | 2 | 2023 |
| Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets M Raymond, JC Saldinger, P Elvati, C Scott, A Violi arXiv preprint arXiv:2403.14466, 2024 | 1 | 2024 |
| A deep learning architecture for metabolic pathway prediction M Baranwal, A Magner, P Elvati, J Saldinger, A Violi, AO Hero Bioinformatics 40 (7), 2024 | | 2024 |
| SPIN: A data-driven model to reduce large chemical reaction networks M Baranwal, JC Saldinger, D Kim, P Elvati, AO Hero, A Violi Fuel 367, 131299, 2024 | | 2024 |
| Predicting aggregation rates of polycyclic aromatics through machine learning JC Saldinger, P Elvati, K Alrawi, A Violi Fuel 364, 131031, 2024 | | 2024 |
| Computational Methods to Quantify Nanoparticle Interactions J Saldinger | | 2023 |
| Hybrid Molecular Dynamics-Machine Learning Approach for Efficient Modeling of Particle Growth in Non-Thermal Plasma P Elvati, J Saldinger, M Raymond, J Lin, A Violi, X Shi APS Annual Gaseous Electronics Meeting Abstracts, DR2. 002, 2023 | | 2023 |
| A predictive model for the aggregation of polycyclic aromatic compounds JC Saldinger, P Elvati, A Violi Engineering Archive, 2022 | | 2022 |
