Peter W. Chung

Identifiers

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Papers (6)

1. Deep learning for molecular design - a review of the state of the art cs.LG · 2019 · author #4
2. Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora cs.CL · 2019 · author #7
3. Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning stat.ML · 2018 · author #3
4. A Phonon Boltzmann Study of Microscale Thermal Transport in $\alpha$-RDX Cook-Off cond-mat.mtrl-sci · 2018 · author #4
5. Machine Learning of Energetic Material Properties cond-mat.mtrl-sci · 2018 · author #7
6. Applying machine learning techniques to predict the properties of energetic materials cond-mat.mtrl-sci · 2018 · author #5

Mentions

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Frequent Coauthors

• Daniel C. Elton 6 shared papers
• Mark D. Fuge 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
• Francis G. VanGessel 1 shared papers
• Gaurav Kumar 1 shared papers
• Mark S. Butrico 1 shared papers
• Nischal Reddy 1 shared papers
• Ruth M. Doherty 1 shared papers
• William D. Mattson 1 shared papers