| Functionalized graphene enables highly efficient solar thermal steam generation J Yang, Y Pang, W Huang, SK Shaw, J Schiffbauer, MA Pillers, X Mu, ... ACS nano 11 (6), 5510-5518, 2017 | 373 | 2017 |
| Exfoliated graphene leads to exceptional mechanical properties of polymer composite films Y Pang, J Yang, TE Curtis, S Luo, D Huang, Z Feng, JO Morales-Ferreiro, ... ACS nano 13 (2), 1097-1106, 2019 | 67 | 2019 |
| Effect of electric field non-uniformity on droplets coalescence S Luo, J Schiffbauer, T Luo Physical Chemistry Chemical Physics 18 (43), 29786-29796, 2016 | 65 | 2016 |
| Enhancement of interfacial thermal transport by carbon nanotube-graphene junction H Bao, C Shao, S Luo, M Hu Journal of Applied Physics 115 (5), 2014 | 54 | 2014 |
| Modeling of a continuous water desalination process using directional solvent extraction S Alotaibi, OM Ibrahim, S Luo, T Luo Desalination 420, 114-124, 2017 | 40 | 2017 |
| Exceptional ion rejection ability of directional solvent for non-membrane desalination D Rish, S Luo, B Kurtz, T Luo Applied Physics Letters 104 (2), 2014 | 34 | 2014 |
| Parameter identification of RANS turbulence model using physics-embedded neural network S Luo, M Vellakal, S Koric, V Kindratenko, J Cui International Conference on High Performance Computing, 137-149, 2020 | 22 | 2020 |
| Direct arsenic removal from water using non-membrane, low-temperature directional solvent extraction J Guo, S Luo, Z Liu, T Luo Journal of Chemical & Engineering Data 65 (6), 2938-2946, 2020 | 20 | 2020 |
| Two-dimensional film-cooling effectiveness prediction based on deconvolution neural network Y Wang, W Wang, G Tao, X Zhang, S Luo, J Cui International Communications in Heat and Mass Transfer 129, 105621, 2021 | 18 | 2021 |
| A continuous directional solvent extraction desalination process realized with the aid of electro-coalescence S Luo, Y Pang, T Luo Journal of Chemical Engineering & Process Technology 9 (4), 1000392, 2018 | 11 | 2018 |
| LIS-PRO: A new concept of power generation from low temperature heat using liquid-phase ion-stripping-induced salinity gradient Y Wang, S Luo, J Guo, M Liu, J Wang, J Yan, T Luo Energy 200, 117593, 2020 | 8 | 2020 |
| Effect of cooling on droplet size in supersaturation-induced emulsions S Luo, J Schiffbauer, T Luo Physical Chemistry Chemical Physics 19 (44), 29855-29861, 2017 | 7 | 2017 |
| Film cooling prediction and optimization based on deconvolution neural network Y Wang, S Luo, W Wang, G Tao, X Zhang, J Cui High Performance Computing: ISC High Performance Digital 2021 International …, 2021 | 4 | 2021 |
| Review and examination of input feature preparation methods and machine learning models for turbulence modeling S Luo, J Cui, M Vellakal, J Liu, E Jiang, S Koric, V Kindratenko arXiv preprint arXiv:2001.05485, 2020 | 3 | 2020 |
| Towards Exascale Computation for Turbomachinery Flows Y Fu, W Shen, J Cui, Y Zheng, G Yang, Z Liu, J Zhang, T Ji, F Xie, X Lv, ... SC23: International Conference for High Performance Computing, Networking …, 2023 | 2 | 2023 |
| Critical minerals map feature extraction using deep learning S Luo, A Saxton, A Bode, P Mazumdar, V Kindratenko IEEE Geoscience and Remote Sensing Letters, 2023 | 2 | 2023 |
| Weakly supervised segmentation of buildings in digital elevation models A Soliman, Y Chen, S Luo, R Makharov, V Kindratenko IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2022 | 2 | 2022 |
| Hands-on with IBM visual insights S Luo, V Kindratenko Computing in Science & Engineering 22 (5), 108-112, 2020 | 2 | 2020 |
| Turbomachinery Blade Surrogate Modeling Using Deep Learning S Luo, J Cui, V Sella, J Liu, S Koric, V Kindratenko High Performance Computing: ISC High Performance Digital 2021 International …, 2021 | 1 | 2021 |
| YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis A Zhou, S Li, P Sriram, X Li, J Dong, A Sharma, Y Zhong, S Luo, ... Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Tengfei LuoDorini Family Professor, MÖNSTER (MOlecular/Nano-Sacle Transport & Energy Research) Lab在 nd.edu 的电子邮件经过验证
