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20182026
most citedAccelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis

340 citations · 609 across the 14 of their papers we have counts for

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physics.app-ph2018★ 340 cited

Accelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis

Shijing Sun, Noor T. P. Hartono, Zekun D. Ren +15

Accelerating the experimental cycle for new materials development is vital for addressing the grand energy challenges of the 21st century. We fabricate and characterize 75 unique h…

physics.data-an2018★ 1 cited

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

Felipe Oviedo, Zekun Ren, Shijing Sun +9

X-ray diffraction (XRD) data acquisition and analysis is among the most time-consuming steps in the development cycle of novel thin-film materials. We propose a machine-learning-en…