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20242026
most citedOut-of-distribution materials property prediction using adversarial learning based fine-tuning

2 citations · 3 across the 8 of their papers we have counts for

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cond-mat.mtrl-sci2024★ 2 cited

Out-of-distribution materials property prediction using adversarial learning based fine-tuning

Qinyang Li, Nicholas Miklaucic, Jianjun Hu

The accurate prediction of material properties is crucial in a wide range of scientific and engineering disciplines. Machine learning (ML) has advanced the state of the art in this…

cond-mat.mtrl-sci2024

Physical Encoding Improves OOD Performance in Deep Learning Materials Property Prediction

Nihang Fu, Sadman Sadeed Omee, Jianjun Hu

Deep learning (DL) models have been widely used in materials property prediction with great success, especially for properties with large datasets. However, the out-of-distribution…