Marcus Schwarting
University of Chicago(US)
Publications by Year
Research Areas
Machine Learning in Materials Science, Computational Drug Discovery Methods, Biomedical and Engineering Education, Scientific Computing and Data Management, Research Data Management Practices
Most-Cited Works
- → An open experimental database for exploring inorganic materials(2018)199 cited
- → 14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon(2023)190 cited
- → A data ecosystem to support machine learning in materials science(2019)181 cited
- → Synergistic plasma-assisted electrochemical reduction of nitrogen to ammonia(2018)70 cited
- → Automated algorithms for band gap analysis from optical absorption spectra(2017)27 cited
- → Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release(2020)20 cited
- → Graph network based deep learning of bandgaps(2021)18 cited
- → In silico active learning for small molecule properties(2022)14 cited
- → Machine learning-guided discovery of gas evolving electrode bubble inactivation(2024)10 cited