Benjamín Sánchez-Lengeling
Google (United States)(US)University of Toronto(CA)Google DeepMind (United Kingdom)(GB)Vector Institute(CA)
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, Olfactory and Sensory Function Studies, Advanced Chemical Sensor Technologies, Protein Structure and Dynamics
Most-Cited Works
- → Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.(2018)1,970 cited
- → Inverse molecular design using machine learning: Generative models for matter engineering(2018)1,967 cited
- → Rational design of layered oxide materials for sodium-ion batteries(2020)1,355 cited
- → Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models(2017)495 cited
- → Reinforced Adversarial Neural Computer for de Novo Molecular Design(2018)385 cited
- → Inverse design of nanoporous crystalline reticular materials with deep generative models(2021)364 cited