Joseph Sang‐II Kwon

Developing Quantitative Structure–Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning

Shuai Yuan, Zeren Jiao, Noor Quddus et al. · Industrial & Engineering Chemistry Research · 2019 · 62 citations

Engineering, Machine Learning, Qspr Model +20

Protein Crystal Shape and Size Control in Batch Crystallization: Comparing Model Predictive Control with Conventional Operating Policies

Joseph Sang‐II Kwon, Michael Nayhouse, Panagiotis D. Christofides et al. · Industrial & Engineering Chemistry Research · 2013 · 42 citations

Engineering, Batch Crystallization, Molecular Biology +18

Enhancing the Crystal Production Rate and Reducing Polydispersity in Continuous Protein Crystallization

Joseph Sang‐II Kwon, Michael Nayhouse, Gerassimos Orkoulas et al. · Industrial & Engineering Chemistry Research · 2014 · 39 citations

Crystal Nucleation, Engineering, Molecular Biology +25

A computational approach to characterize formation of a passivation layer in lithium metal anodes

Niranjan Sitapure, H. Lee, Francisco Ospina‐Acevedo et al. · AIChE Journal · 2020 · 34 citations

Engineering, Li Electrodeposition, Lithium Metal Anodes +23

Liquid flammability ratings predicted by machine learning considering aerosolization

Shuai Yuan, Zhuoran Zhang, Yue Sun et al. · Journal of Hazardous Materials · 2019 · 29 citations

Engineering, Machine Learning, Data Science +4