| Stochastic model predictive control—how does it work? TAN Heirung, JA Paulson, J O’Leary, A Mesbah Computers & Chemical Engineering 114, 158-170, 2018 | 160 | 2018 |
| Deep learning for classification of the chemical composition of particle defects on semiconductor wafers J O’Leary, K Sawlani, A Mesbah IEEE Transactions on Semiconductor Manufacturing 33 (1), 72-85, 2020 | 49 | 2020 |
| Stochastic physics-informed neural ordinary differential equations J O'Leary, JA Paulson, A Mesbah Journal of Computational Physics 468, 111466, 2022 | 38* | 2022 |
| Deep learning for characterizing the self-assembly of three-dimensional colloidal systems J O’Leary, R Mao, EJ Pretti, JA Paulson, J Mittal, A Mesbah Soft Matter 17 (4), 989-999, 2021 | 20 | 2021 |
| A deep learning framework discovers compositional order and self-assembly pathways in binary colloidal mixtures R Mao, J O’Leary, A Mesbah, J Mittal JACS Au 2 (8), 1818-1828, 2022 | 8 | 2022 |
| A physics-informed deep learning approach for minimum effort stochastic control of colloidal self-assembly I Nodozi, J O’Leary, A Mesbah, A Halder 2023 American Control Conference (ACC), 609-615, 2023 | 6 | 2023 |
| Identification of volatile organic compounds (VOCs) by SPME-GC-MS to detect Aspergillus flavus infection in pistachios L Afsah-Hejri, P Rajaram, J O'Leary, J McGivern, R Baxter, A Mesbah, ... Food Control 154, 110033, 2023 | 2 | 2023 |
| Engineering of a miniaturized, robotic clinical laboratory MB Nourse, K Engel, SG Anekal, JA Bailey, P Bhatta, DP Bhave, ... Bioengineering & Translational Medicine 3 (1), 58-70, 2018 | 2 | 2018 |
| Novelty Search for Neuroevolutionary Reinforcement Learning of Deceptive Systems: An Application to Control of Colloidal Self-assembly J O’Leary, MM Khare, A Mesbah 2023 American Control Conference (ACC), 2776-2781, 2023 | 1 | 2023 |
| Wind River Elementary Computer Science Collaborative: Connecting Computer Science and Indigenous Identities and Knowledges on the Wind River Reservation JP Wilson, K Rich, J O'Leary, V Miller Journal of Computer Science Integration, 2023 | | 2023 |
| Learning-Based Characterization and Control of Colloidal Self-Assembly Systems J O'Leary University of California, Berkeley, 2022 | | 2022 |
| Deep Learning for Characterizing the Structure of Three-Dimensional, Binary, Self-Assembled Colloidal Lattices J O'Leary, R Mao, J Mittal, A Mesbah 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Physics-Constrained Deep Learning of Unmodeled Physics in Systems Governed By Stochastic Differential Equations J O'Leary, JA Paulson, A Mesbah 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Wind River Reservation: Culturally Responsive Elementary Coding Curriculum J O'Leary, JP Wilson TIE21, 2021 | | 2021 |
| Deep Learning for Characterizing and Modeling the Dynamics of Complex Colloidal Self-Assembly Systems J O'Leary, R Mao, E Pretti, J Mittal, A Mesbah 2020 Virtual AIChE Annual Meeting, 2020 | | 2020 |
| Deep learning for semiconductor defect classification J O'Leary, K Sawlani, A Mesbah Data Science Workshop – Lawrence Livermore National Laboratory, 2018 | | 2018 |
