10 citations · 21 across the 4 of their papers we have counts for
4 papers
MatKG: The Largest Knowledge Graph in Materials Science -- Entities, Relations, and Link Prediction through Graph Representation Learning
Vineeth Venugopal, Sumit Pai, Elsa Olivetti
This paper introduces MatKG, a novel graph database of key concepts in material science spanning the traditional material-structure-property-processing paradigm. MatKG is autonomou…
Inorganic Synthesis Reaction Condition Prediction with Generative Machine Learning
Christopher Karpovich, Zach Jensen, Vineeth Venugopal +1
Data-driven synthesis planning with machine learning is a key step in the design and discovery of novel inorganic compounds with desirable properties. Inorganic materials synthesis…
Unveiling the Glass Veil: Elucidating the Optical Properties in Glasses with Interpretable Machine Learning
Mohd Zaki, Vineeth Venugopal, R. Ravinder +5
Due to their excellent optical properties, glasses are used for various applications ranging from smartphone screens to telescopes. Developing compositions with tailored Abbe numbe…
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing
Vineeth Venugopal, Sourav Sahoo, Mohd Zaki +3
Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processin…