Lauren Takahashi
Hokkaido University(JP)
Publications by Year
Research Areas
Machine Learning in Materials Science, Catalysis and Oxidation Reactions, Catalytic Processes in Materials Science, Graphene research and applications, 2D Materials and Applications
Most-Cited Works
- → High-Throughput Experimentation and Catalyst Informatics for Oxidative Coupling of Methane(2019)176 cited
- → Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations(2018)106 cited
- → The Rise of Catalyst Informatics: Towards Catalyst Genomics(2018)101 cited
- → Catalysts informatics: paradigm shift towards data-driven catalyst design(2023)56 cited
- → Learning Catalyst Design Based on Bias-Free Data Set for Oxidative Coupling of Methane(2021)53 cited
- → Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts(2020)48 cited
- → Creating Machine Learning-Driven Material Recipes Based on Crystal Structure(2019)46 cited
- → Designing Catalyst Descriptors for Machine Learning in Oxidative Coupling of Methane(2022)46 cited
- → Redesigning the Materials and Catalysts Database Construction Process Using Ontologies(2018)36 cited
- → Automatic oxidation threshold recognition of XAFS data using supervised machine learning(2019)33 cited