most citedMOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction

Zhonglin Cao, Rishikesh Magar, Yuyang Wang +1

Metal-Organic Frameworks (MOFs) are materials with a high degree of porosity that can be used for applications in energy storage, water desalination, gas storage, and gas separatio…