most citedMOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks

6 citations · 8 across the 4 of their papers we have counts for

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physics.chem-ph2022

Low-cost machine learning approach to the prediction of transition metal phosphor excited state properties

Gianmarco Terrones, Chenru Duan, Aditya Nandy +1

Photoactive iridium complexes are of broad interest due to their applications ranging from lighting to photocatalysis. However, the excited state property prediction of these compl…

physics.chem-ph2022★ 1 cited

Active Learning Exploration of Transition Metal Complexes to Discover Method-Insensitive and Synthetically Accessible Chromophores

Chenru Duan, Aditya Nandy, Gianmarco Terrones +2

Transition metal chromophores with earth-abundant transition metals are an important design target for their applications in lighting and non-toxic bioimaging, but their design is…