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Jennifer N Wei
Jennifer N Wei
Open Molecular Software Foundation
Verified email at omsf.io
Title
Cited by
Cited by
Year
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
30812018
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
9782012
Neural networks for the prediction of organic chemistry reactions
JN Wei, D Duvenaud, A Aspuru-Guzik
ACS Central Science 2 (10), 725-732, 2016
4392016
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
1262019
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
1202017
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
1172019
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
1082020
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
492012
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
382014
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
232023
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
102022
Metabolic activity organizes olfactory representations
WW Qian, JN Wei, B Sanchez-Lengeling, BK Lee, Y Luo, M Vlot, ...
Elife 12, e82502, 2023
82023
Evaluating Attribution for Graph Neural Networks
AB Wiltschko, B Sanchez-Lengeling, B Lee, E Reif, J Wei, KJ McCloskey, ...
52020
The Chemistry of Smell: Learning Generalizable Perceptual Representations of Small Molecules
B Sanchez-Lengeling, JN Wei, BK Lee, RC Gerkin, A Aspuru-Guzik, ...
5*
Exploring Machine Learning Applications to Enable Next-Generation Chemistry
JN Wei
Harvard University, 2019
22019
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
12023
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, JN Wei, Z Mariet, ...
arXiv preprint arXiv:2306.03329, 2023
12023
A deep learning and digital archaeology approach for mosquito repellent discovery
JN Wei, M Vlot, B Sanchez-Lengeling, BK Lee, L Berning, MW Vos, ...
bioRxiv, 2022.09. 01.504601, 2022
12022
Machine-learned models for sensory property prediction
A Wiltschko, W Qian, J Wei, BM Sanchez-Lengeling, BK Lee, Y Wang
US Patent App. 18/036,707, 2024
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
2023
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Articles 1–20