| Assessing the frontier: Active learning, model accuracy, and multi-objective candidate discovery and optimization Z del Rosario, M Rupp, Y Kim, E Antono, J Link The Journal of Chemical Physics 153 (2), 2020 | 65 | 2020 |
| Data-driven dimensional analysis of heat transfer in irradiated particle-laden turbulent flow L Jofre, ZR del Rosario, G Iaccarino International Journal of Multiphase Flow 125, 103198, 2020 | 46 | 2020 |
| Data-driven dimensional analysis: algorithms for unique and relevant dimensionless groups PG Constantine, Z del Rosario, G Iaccarino arXiv preprint arXiv:1708.04303, 2017 | 29 | 2017 |
| Quantifying uncertainty in high-throughput density functional theory: A comparison of AFLOW, Materials Project, and OQMD VI Hegde, CKH Borg, Z del Rosario, Y Kim, M Hutchinson, E Antono, ... Physical Review Materials 7 (5), 053805, 2023 | 26* | 2023 |
| Many physical laws are ridge functions PG Constantine, Z del Rosario, G Iaccarino arXiv preprint arXiv:1605.07974, 2016 | 21 | 2016 |
| Cutting the Double Loop: Theory and Algorithms for Reliability-Based Design Optimization with Parametric Uncertainty Z del Rosario, RW Fenrich, G Iaccarino International Journal for Numerical Methods in Engineering, 2019 | 19 | 2019 |
| Developing design insight through active subspaces Z del Rosario, P Constantine, G Iaccarino 19th AIAA non-deterministic approaches conference, 1090, 2017 | 17 | 2017 |
| Lurking variable detection via dimensional analysis Z del Rosario, M Lee, G Iaccarino SIAM/ASA Journal on Uncertainty Quantification 7 (1), 232-259, 2019 | 15 | 2019 |
| When Are Allowables Conservative? Z del Rosario, RW Fenrich, G Iaccarino AIAA Journal 59 (5), 1760-1772, 2021 | 11 | 2021 |
| Fast precision margin with the first-order reliability method Z del Rosario, G Iaccarino, RW Fenrich AIAA Journal 57 (11), 5042-5053, 2019 | 8 | 2019 |
| Precision materials indices: Materials selection with statistically rigorous reliability analysis Z del Rosario AIAA Journal 60 (2), 578-586, 2022 | 6 | 2022 |
| Data-driven dimensional analysis: Algorithms for unique and relevant dimensionless groups. arXiv 2017 PG Constantine, Z del Rosario, G Iaccarino arXiv preprint arXiv:1708.04303, 0 | 5 | |
| A Qualitative Study of Engineering Students' Reasoning About Statistical Variability R Aggarwal, M Flynn, S Daitzman, D Lam, ZR del Rosario 2021 Fall ASEE Middle Atlantic Section Meeting, 2021 | 4 | 2021 |
| Grama: A Grammar of Model Analysis Z del Rosario The Journal of Open Source Software 5 (51), 2462, 2020 | 4 | 2020 |
| Margin as Model: Some Answers to" How Many Tests Should I Perform?" Z del Rosario, RW Fenrich, G Iaccarino AIAA Aviation 2019 Forum, 3554, 2019 | 4 | 2019 |
| Precision margin : first-principles margins for aircraft design under uncertainty Z del Rosario Stanford University, 2020 | 3 | 2020 |
| A Scoping Review of Engineering Textbooks to Quantify the Teaching of Uncertainty K Vo, AJ Evans, S Madan, Z del_Rosario ASEE Conferences, 2023 | 2 | 2023 |
| Beyond basis values: Fast precision margin with form Z del Rosario, RW Fenrich, G Iaccarino AIAA Scitech 2019 Forum, 0721, 2019 | 2 | 2019 |
| Dimension Reduction for Shape Design Insight Z del Rosario, A Towne, G Iaccarino 2018 AIAA Aerospace Sciences Meeting, 0274, 2018 | 2 | 2018 |
| Neglected, Acknowledged, or Targeted: A Conceptual Framing of Variability, Data Analysis, and Domain Consequences Z del Rosario Journal of Statistics and Data Science Education, 1-12, 2024 | 1 | 2024 |
Gianluca IaccarinoStanford University在 stanford.edu 的电子邮件经过验证
