Papers — UW SUN Lab

Papers

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Drawing Hands, 1948, by MC Escher

Autonomy

High-throughput synthesis

Sun, Shijing, et al. "Accelerated development of perovskite-inspired materials via high-throughput synthesis and machine-learning diagnosis." Joule 3.6 (2019): 1437-1451.
Data fusion

Sun, Shijing, et al. "A data fusion approach to optimize compositional stability of halide perovskites." Matter 4.4 (2021): 1305-1322.
Closed-loop research platforms

Montoya, Joseph H., et al. "Toward autonomous materials research: Recent progress and future challenges." Applied Physics Reviews 9.1 (2022).
AI-assisted materials discovery

Montoya, Joseph H., et al. "Computer-assisted discovery and rational synthesis of ternary oxides." ChemrXiv (2023).

Informatics

Accelerated XRD

Oviedo, Felipe, et al. "Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks." npj Computational Materials 5.1 (2019): 60.
Interpretable perovskite capping layer design

Hartono, Noor Titan Putri, et al. "How machine learning can help select capping layers to suppress perovskite degradation." Nature Communications 11.1 (2020): 4172.
Materials representation

Torrisi, Steven B., et al. "Materials cartography: A forward-looking perspective on materials representation and devising better maps." APL Machine Learning 1.2 (2023).
Battery degradation inference

Ansari, Mehrad, et al. "History-Agnostic Battery Degradation Inference." ChemrXiv (2023).

Materials

Energy

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Full publication list on Google Scholar