Mark D. Fuge

Identifiers

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Papers (6)

1. GLUE: Coordinating Pre-Trained Generative Models for System-Level Design cs.CE · 2025 · author #3
2. Deep learning for molecular design - a review of the state of the art cs.LG · 2019 · author #3
3. Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora cs.CL · 2019 · author #5
4. Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning stat.ML · 2018 · author #4
5. Machine Learning of Energetic Material Properties cond-mat.mtrl-sci · 2018 · author #6
6. Applying machine learning techniques to predict the properties of energetic materials cond-mat.mtrl-sci · 2018 · author #4

Mentions

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Frequent Coauthors

• Daniel C. Elton 5 shared papers
• Peter W. Chung 5 shared papers
• Zois Boukouvalas 5 shared papers
• Brian C. Barnes 1 shared papers
• DeCarlos E. Taylor 1 shared papers
• Dhruv Turakhia 1 shared papers
• Mark S. Butrico 1 shared papers
• Nischal Reddy 1 shared papers
• Ruth M. Doherty 1 shared papers
• Soheyl Massoudi 1 shared papers
• Tim Aebersold 1 shared papers
• William D. Mattson 1 shared papers