| Automatic chemical design using a data-driven continuous representation of molecules R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ... ACS central science 4 (2), 268-276, 2018 | 3564 | 2018 |
| Printing colour at the optical diffraction limit K Kumar, H Duan, RS Hegde, SCW Koh, JN Wei, JKW Yang Nature nanotechnology 7 (9), 557-561, 2012 | 1024 | 2012 |
| Neural networks for the prediction of organic chemistry reactions JN Wei, D Duvenaud, A Aspuru-Guzik ACS central science 2 (10), 725-732, 2016 | 478 | 2016 |
| Rapid prediction of electron–ionization mass spectrometry using neural networks JN Wei, D Belanger, RP Adams, D Sculley ACS central science 5 (4), 700-708, 2019 | 154 | 2019 |
| Evaluating attribution for graph neural networks B Sanchez-Lengeling, J Wei, B Lee, E Reif, P Wang, W Qian, ... Advances in neural information processing systems 33, 5898-5910, 2020 | 134 | 2020 |
| Machine learning for scent: Learning generalizable perceptual representations of small molecules B Sanchez-Lengeling, JN Wei, BK Lee, RC Gerkin, A Aspuru-Guzik, ... arXiv preprint arXiv:1910.10685, 2019 | 134 | 2019 |
| Use machine learning to find energy materials P De Luna, J Wei, Y Bengio, A Aspuru-Guzik, E Sargent Nature 552 (7683), 23-27, 2017 | 129 | 2017 |
| A principal odor map unifies diverse tasks in olfactory perception BK Lee, EJ Mayhew, B Sanchez-Lengeling, JN Wei, WW Qian, KA Little, ... Science 381 (6661), 999-1006, 2023 | 74 | 2023 |
| The active site of melanopsin: the biological clock photoreceptor S Sekharan, JN Wei, VS Batista Journal of the American Chemical Society 134 (48), 19536-19539, 2012 | 49 | 2012 |
| QM/MM model of the mouse olfactory receptor MOR244-3 validated by site-directed mutagenesis experiments S Sekharan, MZ Ertem, H Zhuang, E Block, H Matsunami, R Zhang, ... Biophysical journal 107 (5), L5-L8, 2014 | 37 | 2014 |
| Metabolic activity organizes olfactory representations WW Qian, JN Wei, B Sanchez-Lengeling, BK Lee, Y Luo, M Vlot, ... Elife 12, e82502, 2023 | 14 | 2023 |
| A principal odor map unifies diverse tasks in human olfactory perception BK Lee, EJ Mayhew, B Sanchez-Lengeling, JN Wei, WW Qian, K Little, ... BioRxiv, 2022.09. 01.504602, 2022 | 10 | 2022 |
| Perspective on AI for accelerated materials design at the AI4Mat-2023 workshop at NeurIPS 2023 S Miret, NMA Krishnan, B Sanchez-Lengeling, M Skreta, V Venugopal, ... Digital Discovery, 2024 | 9 | 2024 |
| Predicting emergence of crystals from amorphous matter with deep learning M Aykol, A Merchant, S Batzner, JN Wei, ED Cubuk arXiv preprint arXiv:2310.01117, 2023 | 5 | 2023 |
| Evaluating attribution for graph neural networks AB Wiltschko, B Sanchez-Lengeling, B Lee, E Reif, J Wei, KJ McCloskey, ... Advances in Neural Information Processing Systems 33, 2020 | 5 | 2020 |
| The Chemistry of Smell: Learning Generalizable Perceptual Representations of Small Molecules B Sanchez-Lengeling, JN Wei, BK Lee, RC Gerkin, A Aspuru-Guzik, ... | 5* | |
| AVIDa-hIL6: a large-scale VHH dataset produced from an immunized alpaca for predicting antigen-antibody interactions H Tsuruta, H Yamazaki, R Maeda, R Tamura, J Wei, ZE Mariet, ... Advances in Neural Information Processing Systems 36, 42077-42096, 2023 | 3 | 2023 |
| Exploring Machine Learning Applications to Enable Next-Generation Chemistry JN Wei Harvard University, 2019 | 2 | 2019 |
| Predicting Properties of Amorphous Solids with Graph Network Potentials M Aykol, JN Wei, S Batzner, A Merchant, ED Cubuk 1st Workshop on the Synergy of Scientific and Machine Learning Modeling …, 2023 | 1 | 2023 |
| A deep learning and digital archaeology approach for mosquito repellent discovery JN Wei, C Ruiz, M Vlot, B Sanchez-Lengeling, BK Lee, L Berning, ... bioRxiv, 2022.09. 01.504601, 2022 | 1 | 2022 |
Benjamin Sanchez-LengelingResearch Scientist at Google DeepmindVerified email at google.com
