| Water desalination with a single-layer MoS2 nanopore M Heiranian, AB Farimani, NR Aluru Nature communications 6 (1), 8616, 2015 | 788 | 2015 |
| Molecular contrastive learning of representations via graph neural networks Y Wang, J Wang, Z Cao, A Barati Farimani Nature Machine Intelligence, 279–287, 2022 | 658 | 2022 |
| DNA Base Detection Using a Single-Layer MoS2 AB Farimani, K Min, NR Aluru ACS nano 8 (8), 7914-7922, 2014 | 400 | 2014 |
| A review on challenges and successes in atomic-scale design of catalysts for electrochemical synthesis of hydrogen peroxide S Siahrostami, SJ Villegas, AH Bagherzadeh Mostaghimi, S Back, ... Acs Catalysis 10 (14), 7495-7511, 2020 | 358 | 2020 |
| Energy Dissipation in Monolayer MoS2 Electronics E Yalon, CJ McClellan, KKH Smithe, M Muñoz Rojo, RL Xu, ... Nano letters 17 (6), 3429-3433, 2017 | 240 | 2017 |
| Ultrathin, transferred layers of thermally grown silicon dioxide as biofluid barriers for biointegrated flexible electronic systems H Fang, J Zhao, KJ Yu, E Song, AB Farimani, CH Chiang, X Jin, Y Xue, ... Proceedings of the National Academy of Sciences 113 (42), 11682-11687, 2016 | 227 | 2016 |
| Spatial diffusion of water in carbon nanotubes: from fickian to ballistic motion A Barati Farimani, NR Aluru The Journal of Physical Chemistry B 115 (42), 12145-12149, 2011 | 211 | 2011 |
| Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems P Gkeka, G Stoltz, A Barati Farimani, Z Belkacemi, M Ceriotti, JD Chodera, ... Journal of chemical theory and computation 16 (8), 4757-4775, 2020 | 189 | 2020 |
| The role of external defects in chemical sensing of graphene field-effect transistors B Kumar, K Min, M Bashirzadeh, AB Farimani, MH Bae, D Estrada, ... Nano letters 13 (5), 1962-1968, 2013 | 169 | 2013 |
| Water desalination with two-dimensional metal–organic framework membranes Z Cao, V Liu, A Barati Farimani Nano letters 19 (12), 8638-8643, 2019 | 152 | 2019 |
| Deep learning the physics of transport phenomena AB Farimani, J Gomes, VS Pande arXiv preprint arXiv:1709.02432, 2017 | 148 | 2017 |
| Transformer for partial differential equations' operator learning Z Li, K Meidani, AB Farimani Transactions on Machine Learning Research, 2022 | 140 | 2022 |
| Orbital graph convolutional neural network for material property prediction M Karamad, R Magar, Y Shi, S Siahrostami, ID Gates, A Barati Farimani Physical Review Materials 4 (9), 093801, 2020 | 139 | 2020 |
| Mechanisms for hydrolysis of silicon nanomembranes as used in bioresorbable electronics L Yin, AB Farimani, K Min, N Vishal, J Lam, YK Lee, NR Aluru, JA Rogers Adv. Mater 27 (11), 1857-1864, 2015 | 129 | 2015 |
| A physics-informed diffusion model for high-fidelity flow field reconstruction D Shu, Z Li, AB Farimani Journal of Computational Physics 478, 111972, 2023 | 128 | 2023 |
| Potential neutralizing antibodies discovered for novel corona virus using machine learning R Magar, P Yadav, A Barati Farimani Scientific reports 11 (1), 5261, 2021 | 128 | 2021 |
| Stressgan: A generative deep learning model for two-dimensional stress distribution prediction H Jiang, Z Nie, R Yeo, AB Farimani, LB Kara Journal of Applied Mechanics 88 (5), 051005, 2021 | 118 | 2021 |
| MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning P Akbari, F Ogoke, NY Kao, K Meidani, CHY Yeh, W Lee, ... Additive Manufacturing 55, 102817, 2022 | 114 | 2022 |
| Dissolution of monocrystalline silicon nanomembranes and their use as encapsulation layers and electrical interfaces in water-soluble electronics YK Lee, KJ Yu, E Song, A Barati Farimani, F Vitale, Z Xie, Y Yoon, Y Kim, ... ACS nano 11 (12), 12562-12572, 2017 | 114 | 2017 |
| DNA origami–graphene hybrid nanopore for DNA detection A Barati Farimani, P Dibaeinia, NR Aluru ACS applied materials & interfaces 9 (1), 92-100, 2017 | 102 | 2017 |
N. AluruMechanical Engineering, Oden Institute, University of Texas at Austin | Previous: UIUC |Email yang diverifikasi di utexas.edu