| Kinetics-informed neural networks GS Gusmão, AP Retnanto, SC Da Cunha, AJ Medford Catalysis Today 417, 113701, 2023 | 31 | 2023 |
| Maximizing single-pass conversion does not result in practical readiness for CO2 reduction electrolyzers SC da Cunha, J Resasco Nature Communications 14 (1), 5513, 2023 | 9 | 2023 |
| The origin of blinking in both mudskippers and tetrapods is linked to life on land BR Aiello, MS Bhamla, J Gau, JGL Morris, K Bomar, S da Cunha, H Fu, ... Proceedings of the National Academy of Sciences 120 (18), e2220404120, 2023 | 7 | 2023 |
| Insights from techno-economic analysis can guide the design of low-temperature CO₂ electrolyzers towards industrial scaleup S da Cunha, J Resasco | | 2024 |
| Blinking in mudskipper fish is functionally convergent with tetrapods BR Aiello, TA Stewart, J Gau, M Sripathi, H Minoguchi, H Fu, S da Cunha, ... INTEGRATIVE AND COMPARATIVE BIOLOGY 62, S5-S5, 2023 | | 2023 |
| Physics-Informed Neural Networks for Kinetic Parameter Estimation and Uncertainty Quantification G Gusmão, A Retnanto, S da Cunha, MR Kunz, A Medford 2021 AIChE Annual Meeting, 2021 | | 2021 |
Gabriel S. GusmãoGeorgia Institute of Technology / GlucoSense Inc在 gatech.edu 的电子邮件经过验证
