A. Gilad Kusne
National Institute of Standards and Technology(US)National Institute of Standards(EG)
Publications by Year
Research Areas
Machine Learning in Materials Science, X-ray Diffraction in Crystallography, Electronic and Structural Properties of Oxides, Electron and X-Ray Spectroscopy Techniques, Advanced Condensed Matter Physics
Most-Cited Works
- → Autonomous experimentation systems for materials development: A community perspective(2021)335 cited
- → Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis(2019)321 cited
- → Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies(2017)305 cited
- → Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks(2019)300 cited
- → Machine Learning in Materials Science(2016)293 cited
- → On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets(2014)269 cited
- →