| 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 | 245 | 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 | 232 | 2019 |
| Two-step machine learning enables optimized nanoparticle synthesis F Mekki-Berrada, Z Ren, T Huang, WK Wong, F Zheng, J Xie, IPS Tian, ... npj Computational Materials 7 (1), 55, 2021 | 118 | 2021 |
| 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 | 109 | 2021 |
| AI applications through the whole life cycle of material discovery J Li, K Lim, H Yang, Z Ren, S Raghavan, PY Chen, T Buonassisi, X Wang Matter 3 (2), 393-432, 2020 | 108 | 2020 |
| Machine learning with knowledge constraints for process optimization of open-air perovskite solar cell manufacturing Z Liu, N Rolston, AC Flick, TW Colburn, Z Ren, RH Dauskardt, ... Joule 6 (4), 834-849, 2022 | 105 | 2022 |
| 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 | 101 | 2022 |
| Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains Q Liang, AE Gongora, Z Ren, A Tiihonen, Z Liu, S Sun, JR Deneault, ... npj Computational Materials 7 (1), 188, 2021 | 97 | 2021 |
| The realistic energy yield potential of GaAs-on-Si tandem solar cells: a theoretical case study H Liu, Z Ren, Z Liu, AG Aberle, T Buonassisi, IM Peters Optics express 23 (7), A382-A390, 2015 | 85 | 2015 |
| Numerical analysis of radiative recombination and reabsorption in GaAs/Si tandem Z Ren, JP Mailoa, Z Liu, H Liu, SC Siah, T Buonassisi, IM Peters IEEE Journal of Photovoltaics 5 (4), 1079-1086, 2015 | 42 | 2015 |
| 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 | 39 | 2020 |
| Inverse design of crystals using generalized invertible crystallographic representation Z Ren, J Noh, S Tian, F Oviedo, G Xing, Q Liang, A Aberle, Y Liu, Q Li, ... arXiv preprint arXiv:2005.07609, 2020 | 35 | 2020 |
| Multi‐fidelity high‐throughput optimization of electrical conductivity in P3HT‐CNT composites D Bash, Y Cai, V Chellappan, SL Wong, X Yang, P Kumar, JD Tan, ... Advanced Functional Materials 31 (36), 2102606, 2021 | 33 | 2021 |
| The GaAs/GaAs/Si solar cell–Towards current matching in an integrated two terminal tandem Z Ren, H Liu, Z Liu, CS Tan, AG Aberle, T Buonassisi, IM Peters Solar Energy Materials and Solar Cells 160, 94-100, 2017 | 31 | 2017 |
| Fabrication and characterization of single junction GaAs solar cells on Si with As-doped Ge buffer Y Wang, Z Ren, M Thway, K Lee, SF Yoon, IM Peters, T Buonassisi, ... Solar Energy Materials and Solar Cells 172, 140-144, 2017 | 29 | 2017 |
| Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning A Tiihonen, SJ Cox-Vazquez, Q Liang, M Ragab, Z Ren, NTP Hartono, ... Journal of the American Chemical Society 143 (45), 18917-18931, 2021 | 26 | 2021 |
| Autonomous experiments using active learning and AI Z Ren, Z Ren, Z Zhang, T Buonassisi, J Li Nature Reviews Materials 8 (9), 563-564, 2023 | 21 | 2023 |
| Benchmarking the performance of bayesian optimization across multiple experimental materials science domains. npj Computational Mater. 7 Q Liang, AE Gongora, Z Ren, A Tiihonen, Z Liu, S Sun, JR Deneault, ... ISSN, 2021 | 21 | 2021 |
| Physics-guided characterization and optimization of solar cells using surrogate machine learning model Z Ren, F Oviedo, H Xue, M Thway, K Zhang, N Li, JD Perea, M Layurova, ... 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC), 3054-3058, 2019 | 20 | 2019 |
| Predicting the outdoor performance of flat-plate III–V/Si tandem solar cells H Liu, Z Ren, Z Liu, AG Aberle, T Buonassisi, IM Peters Solar Energy 149, 77-84, 2017 | 19 | 2017 |
Tonio BuonassisiMassachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
