11 citations · 35 across the 15 of their papers we have counts for
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cs.LG2024
UniMat: Unifying Materials Embeddings through Multi-modal Learning
Janghoon Ock, Joseph Montoya, Daniel Schweigert +3
Materials science datasets are inherently heterogeneous and are available in different modalities such as characterization spectra, atomic structures, microscopic images, and text-…
cs.LG2024★ 8 cited
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis
Tirtha Vinchurkar, Janghoon Ock, Amir Barati Farimani
The increasing popularity of machine learning (ML) in catalysis has spurred interest in leveraging these techniques to enhance catalyst design. Our study aims to bridge the gap bet…