Felipe Oviedo

Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

Shijing Sun, Noor Titan Putri Hartono, Zekun Ren et al. · Joule · 2019 · 328 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi et al. · Accounts of Materials Research · 2022 · 325 citations · Full text

Computing, Chemistry, Materials Science +13

Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Felipe Oviedo, Zekun Ren, Shijing Sun et al. · npj Computational Materials · 2019 · 312 citations · Full text

Computing, Computer Science, Materials Science +17

Predicting locations of cryptic pockets from single protein structures using the PocketMiner graph neural network

Artur Meller, Michael D. Ward, Jonathan Borowsky et al. · Nature Communications · 2023 · 176 citations · Full text

Life Sciences, Bioinformatics, Computational Biology +13

How machine learning can help select capping layers to suppress perovskite degradation

Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen et al. · Nature Communications · 2020 · 175 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17