Juan J. de Pablo

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 5

Top Topics

Named Entity Recognition

Maximum Entropy

Machine Learning

Top Venues

Mach. Learn. Sci. Technol.

Publications

Hyun Park, Boyuan Yu, Juhae Park, Ge Sun, Emad Tajkhorshid, Juan J. de Pablo, Ludwig Schneider
Prediction of Diblock Copolymer Morphology via Machine Learning. CoRR (2023)
Wei Lu, Carlos Bueno, Nicholas P. Schafer, Joshua Moller, Shikai Jin, Xun Chen, Mingchen Chen, Xinyu Gu, Aram Davtyan, Juan J. de Pablo, Peter G. Wolynes
OpenAWSEM with Open3SPN2: A fast, flexible, and accessible framework for large-scale coarse-grained biomolecular simulations. PLoS Comput. Biol. 17 (2) (2021)
Ganesh Sivaraman, Nicholas E. Jackson, Benjamín Sánchez-Lengeling, Álvaro Vázquez-Mayagoitia, Alán Aspuru-Guzik, Venkatram Vishwanath, Juan J. de Pablo
A machine learning workflow for molecular analysis: application to melting points. Mach. Learn. Sci. Technol. 1 (2) (2020)
Roselyne B. Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Alexander Belikov, Debra J. Audus, Shrayesh Patel, Juan J. de Pablo, Ian T. Foster
Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort. ICCS (1) (2019)
Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu, Juan J. de Pablo, Ian T. Foster
Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline. eScience (2017)