| Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis S Sun, NTP Hartono, ZD Ren, F Oviedo, AM Buscemi, M Layurova, ... Joule 3 (6), 1437-1451, 2019 | 286 | 2019 |
| Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks F Oviedo, Z Ren, S Sun, C Settens, Z Liu, NTP Hartono, S Ramasamy, ... npj Computational Materials 5 (1), 60, 2019 | 279 | 2019 |
| An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties Z Ren, SIP Tian, J Noh, F Oviedo, G Xing, J Li, Q Liang, R Zhu, AG Aberle, ... Matter 5 (1), 314-335, 2022 | 175* | 2022 |
| Interpretable and explainable machine learning for materials science and chemistry F Oviedo, JL Ferres, T Buonassisi, KT Butler Accounts of Materials Research 3 (6), 597-607, 2022 | 156 | 2022 |
| How machine learning can help select capping layers to suppress perovskite degradation NTP Hartono, J Thapa, A Tiihonen, F Oviedo, C Batali, JJ Yoo, Z Liu, R Li, ... Nature communications 11 (1), 4172, 2020 | 147 | 2020 |
| A data fusion approach to optimize compositional stability of halide perovskites S Sun, A Tiihonen, F Oviedo, Z Liu, J Thapa, Y Zhao, NTP Hartono, ... Matter 4 (4), 1305-1322, 2021 | 131 | 2021 |
| Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network A Meller, MD Ward, JH Borowsky, JM Lotthammer, M Kshirsagar, ... Biophysical journal 122 (3), 445a, 2023 | 91 | 2023 |
| Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics Z Ren, F Oviedo, M Thway, SIP Tian, Y Wang, H Xue, J Dario Perea, ... npj Computational Materials 6 (1), 9, 2020 | 58* | 2020 |
| Machine learning in materials science KT Butler, F Oviedo, P Canepa American Chemical Society, 2022 | 43 | 2022 |
| Combinatorial polycation synthesis and causal machine learning reveal divergent polymer design rules for effective pDNA and ribonucleoprotein delivery R Kumar, N Le, F Oviedo, ME Brown, TM Reineke Jacs Au 2 (2), 428-442, 2022 | 40 | 2022 |
| Developing a robust recombination contact to realize monolithic perovskite tandems with industrially common p-type silicon solar cells RLZ Hoye, KA Bush, F Oviedo, SE Sofia, M Thway, X Li, Z Liu, J Jean, ... IEEE Journal of Photovoltaics 8 (4), 1023-1028, 2018 | 36 | 2018 |
| An artificial intelligence dataset for solar energy locations in India A Ortiz, D Negandhi, SR Mysorekar, SK Nagaraju, J Kiesecker, ... Scientific Data 9 (1), 497, 2022 | 24 | 2022 |
| Residual stress in high-velocity impact coatings: parametric finite element analysis approach F Oviedo, A Valarezo Journal of Thermal Spray Technology 29, 1268-1288, 2020 | 23 | 2020 |
| Becoming good at AI for good M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664-673, 2021 | 21 | 2021 |
| An open-source environmental chamber for materials-stability testing using an optical proxy R Keesey, A Tiihonen, AE Siemenn, TW Colburn, S Sun, NTP Hartono, ... Digital Discovery 2 (2), 422-440, 2023 | 13 | 2023 |
| 2019 IEEE 46th Photovoltaic Specialists Conf.(PVSC) Z Ren, F Oviedo, H Xue, M Thway, K Zhang, N Li, JD Perea, M Layurova, ... IEEE, 2019 | 13 | 2019 |
| Ohmic shunts in two-terminal dual-junction solar cells with current mismatch F Oviedo, Z Liu, Z Ren, M Thway, T Buonassisi, IM Peters Japanese Journal of Applied Physics 56 (8S2), 08MA05, 2017 | 12 | 2017 |
| Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization F Oviedo, Z Ren, X Hansong, SIP Tian, K Zhang, M Layurova, ... arXiv preprint arXiv:2004.13599, 2020 | 9 | 2020 |
| Polymer design via SHAP and Bayesian machine learning optimizes pDNA and CRISPR ribonucleoprotein delivery RJ Dalal, F Oviedo, MC Leyden, TM Reineke Chemical Science 15 (19), 7219-7228, 2024 | 7 | 2024 |
| Detecting microcracks in photovoltaics silicon wafers using varitional autoencoder Z Liu, F Oviedo, EM Sachs, T Buonassisi 2020 47th IEEE Photovoltaic Specialists Conference (PVSC), 0139-0142, 2020 | 6 | 2020 |
Tonio BuonassisiMassachusetts Institute of TechnologyVerified email at mit.edu