Knowledge Graph-Empowered Materials Discovery. - Xintong Zhao; Jane Greenberg; Scott McClellan; Yong-Jie Hu; Steven Lopez; Semion Saikin; Xiaohua Hu 001; Yuan An (IEEE BigData, 2021)

Modeling Ephraim Chambers' Knowledge Structure from a Naive Standpoint. - Scott McClellan; Mat Kelly; Jane Greenberg (CoRR, 2021)

Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs). - Yuan An; Jane Greenberg; Xiaohua Hu 001; Alexander Kalinowski; Xiao Fang; Xintong Zhao; Scott McClellan; Fernando J. Uribe-Romo; Kyle Langlois; Jacob Furst 002; Diego A. Gómez-Gualdrón; Fernando Fajardo-Rojas; et al. (IEEE Big Data, 2022)

Materials Science Ontology Design with an Analytico-Synthetic Facet Analysis Framework. - Jane Greenberg; Scott McClellan; Xintong Zhao; Elijah J. Kellner; David Venator; Haoran Zhao; Jiacheng Shen; Xiaohua Hu 001; Yuan An (MTSR, 2022)

Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies. - Yuan An; Jane Greenberg; Xintong Zhao; Xiaohua Hu 001; Scott McClellan; Alexander Kalinowski; Fernando J. Uribe-Romo; Kyle Langlois; Jacob Furst 002; Diego A. Gómez-Gualdrón; Fernando Fajardo-Rojas; Katherine Ardila (CoRR, 2022)

Investigating Data Reusability in Density Functional Theory Studies. - Rob Fleur; Addy Ireland; Xintong Zhao; Scott McClellan; Eric Paltoo; Tianyu Su; Channyung Lee; Yuan An; Xiaohua Hu 001; Elif Ertekin; Jane Greenberg (IEEE Big Data, 2023)

When LLM Meets Material Science: An Investigation on MOF Synthesis Labeling. - Xintong Zhao; Kyle Langlois; Jacob Furst 002; Scott McClellan; Rob Fleur; Yuan An; Xiaohua Hu 001; Fernando J. Uribe-Romo; Diego A. Gómez-Gualdrón; Jane Greenberg (IEEE Big Data, 2023)

Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks. - Xintong Zhao; Kyle Langlois; Jacob Furst 002; Scott McClellan; Xiaohua Hu 001; Yuan An; Diego A. Gómez-Gualdrón; Fernando J. Uribe-Romo; Jane Greenberg (MTSR, 2023)

Characterizing Semantic Ambiguity of the Materials Science Ontologies. - Scott McClellan; Yuan An; Xintong Zhao; Xia Lin; Jane Greenberg (CoRR, 2023)

Building Community Consensus for Scientific Metadata with YAMZ. - Jane Greenberg; Scott McClellan; Christopher B. Rauch; Xintong Zhao; Mat Kelly; Yuan An; John A. Kunze; Rachel Orenstein; Claire Porter; Vanessa Meschke; Eric Toberer (Data Intell., 2023)

Towards MatCore: A Unified Metadata Standard for Materials Science. - Jane Greenberg; Pámela Bóveda-Aguirre; John Allison; Pietro Asinari; Maria Chan; Anand Chandrasekaran; Elif Ertekin; Emmanouel Garoufallou; Giulia Galli; Paolo Giannozzi; Feliciano Giustino; Gerhard Goldbeck; et al. (MTSR, 2024)

Enhancing semantic interoperability across materials science with HIVE4MAT. - Jane Greenberg; Kio Polson; Scott McClellan; Xintong Zhao; Alex Kalinowski; Yuan An (SeMatS@SEMANTiCS, 2024)