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20182024
most citedAccelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis

340 citations · 551 across the 9 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022

Tackling Data Scarcity with Transfer Learning: A Case Study of Thickness Characterization from Optical Spectra of Perovskite Thin Films

Siyu Isaac Parker Tian, Zekun Ren, Selvaraj Venkataraj +13

Transfer learning increasingly becomes an important tool in handling data scarcity often encountered in machine learning. In the application of high-throughput thickness as a downs…

cond-mat.mtrl-sci2022★ 3 cited

What Information is Necessary and Sufficient to Predict Materials Properties using Machine Learning?

Siyu Isaac Parker Tian, Aron Walsh, Zekun Ren +2

Conventional wisdom of materials modelling stipulates that both chemical composition and crystal structure are integral in the prediction of physical properties. However, recent de…