| A machine learning framework to forecast wave conditions SC James, Y Zhang, F O'Donncha Coastal Engineering 137, 1-10, 2018 | 344 | 2018 |
| An integrated framework that combines machine learning and numerical models to improve wave-condition forecasts F O’Donncha, Y Zhang, B Chen, SC James Journal of Marine Systems 186, 29-36, 2018 | 52 | 2018 |
| Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves F O’Donncha, Y Zhang, B Chen, SC James Journal of Marine Systems 199, 103206, 2019 | 43 | 2019 |
| Evaluation and Refinement of the General AMBER Force Field for Nineteen Pure Organic Electrolyte Solvents Y Zhang, Y Zhang, MJ McCready, EJ Maginn Journal of Chemical & Engineering Data 63 (9), 3488-3502, 2018 | 30 | 2018 |
| An ensemble-based approach that combines machine learning and numerical models to improve forecasts of wave conditions Y Zhang, SC James, F O'Donncha OCEANS 2017-Anchorage, 1-7, 2017 | 4 | 2017 |
| Prediction of membrane separation efficiency for hydrophobic and hydrophilic proteins Y Zhang, Y Zhang, M McCready, E Maginn Journal of Molecular Modeling 25 (132), 2019 | | 2019 |
