Jennifer N. Wei

According to our database, Jennifer N. Wei authored at least 6 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling.

Karmen Condic-Jurkic, Irfan Alibay, Woody Sherman, Mallory R. Tollefson, W. Patrick Walters, Zachary Baker, Lillian T. Chong, Jennifer N. Wei, Jeffrey J. Gray, Brian D. Weitzner, Daniel G. A. Smith, Julia Koehler Leman, Chris Bahl, David L. Mobley

J. Chem. Inf. Model., 2026

2025

Predicting emergence of crystals from amorphous precursors with deep learning potentials.

Muratahan Aykol, Amil Merchant, Simon L. Batzner, Jennifer N. Wei, Ekin Dogus Cubuk

Nat. Comput. Sci., February, 2025

2023

Predicting emergence of crystals from amorphous matter with deep learning.

Muratahan Aykol, Amil Merchant, Simon L. Batzner, Jennifer N. Wei, Ekin Dogus Cubuk

CoRR, 2023

AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions.

Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer N. Wei, Zelda E. Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy J. Colwell, Akihiro Imura

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Evaluating Attribution for Graph Neural Networks.

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Emily Reif, Peter Wang, Wesley Wei Qian, Kevin McCloskey, Lucy J. Colwell, Alexander B. Wiltschko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules.

Benjamín Sánchez-Lengeling, Jennifer N. Wei, Brian K. Lee, Richard C. Gerkin, Alán Aspuru-Guzik, Alexander B. Wiltschko

CoRR, 2019