Fernando J. Uribe-Romo

According to our database, Fernando J. Uribe-Romo authored at least 9 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

From Analog Records to Computational Research Data: Building the AI-Ready Lab Notebook.

Joel Pepper, Zach Siapano, Jacob Furst, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop.

Xintong Zhao, Kyle Langlois, Jacob Furst, Yuan An, Xiaohua Hu, Diego A. Gómez-Gualdrón, Fernando J. Uribe-Romo, Jane Greenberg

J. Data Inf. Sci., 2024

AI-Ready Data: Knowledge Extraction from Archival Lab Notebooks.

Joel Pepper, Elizabeth Jones, Xintong Zhao, Jacob Furst, Kyle Langlois, Fernando J. Uribe-Romo, David E. Breen, Jane Greenberg

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG).

Yuan An, Jane Greenberg, Alexander Kalinowski, Xintong Zhao, Xiaohua Hu, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón

CoRR, 2023

Metadata for Scientific Experiment Reporting: A Case Study in Metal-Organic Frameworks.

Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Xiaohua Hu, Yuan An, Diego A. Gómez-Gualdrón, Fernando J. Uribe-Romo, Jane Greenberg

Proceedings of the Metadata and Semantic Research - 17th Research Conference, 2023

Knowledge Graph Question Answering for Materials Science (KGQA4MAT).

Yuan An, Jane Greenberg, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Kyle Langlois, Jacob Furst, Alex Kalinowski, Xintong Zhao, Xiaohua Hu

Proceedings of the Metadata and Semantic Research - 17th Research Conference, 2023

When LLM Meets Material Science: An Investigation on MOF Synthesis Labeling.

Xintong Zhao, Kyle Langlois, Jacob Furst, Scott McClellan, Rob Fleur, Yuan An, Xiaohua Hu, Fernando J. Uribe-Romo, Diego A. Gómez-Gualdrón, Jane Greenberg

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies.

Yuan An, Jane Greenberg, Xintong Zhao, Xiaohua Hu, Scott McClellan, Alexander Kalinowski, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila

CoRR, 2022

Exploring Pre-Trained Language Models to Build Knowledge Graph for Metal-Organic Frameworks (MOFs).

Yuan An, Jane Greenberg, Xiaohua Hu, Alexander Kalinowski, Xiao Fang, Xintong Zhao, Scott McClellan, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila, Semion Saikin, Corey A. Harper, Ron Daniel Jr.

Proceedings of the IEEE International Conference on Big Data, 2022