• 2011-2016 PhD in Materials Chemistry, University of California, Santa Barbara (UCSB)
• 2007-2009 MS in Environmental Engineering, Gwangju Institute of Science and Technology (GIST), South Korea
• 2002-2006 BS with Honors in Chemistry, Hanoi University of Science (HUS), Vietnam

• Modes of Inquiry
• Integrated Biology Chemistry
• Chemistry and Physics of Colors
• Energy in Daily Life
• Introduction to Machine Learning in Chemistry
• Computer-Driven Drug Discovery (Learning Cluster)

My research group, aptly named 'Comistry', works in the computational exploration of molecules and the discovery of innovative drugs. We merge the rich, century-long knowledge of chemistry with the prowess of Computational Chemistry, Computational Structural Biology, and Machine Learning.

Group website: www.comistrylab.org, https://sites.google.com/view/comistry/research

• Hieu Huynh, Khanh Le, Linh Vu, Matthew Holcomb, Stefano Forli, Hung Phan,* Synergy of Machine Learning and Density Functional Theory calculations for Predicting Experimental Lewis Base Affinity, Journal of Computational Chemistry, 1–10 (2024)
• Hieu Huynh, Thomas J. Kelly, Linh Vu, Tung Hoang, Phuc An Nguyen, Tu Le, Emily A. Jarvis,* Hung Phan,* Quantum chemistry – Machine Learning Approach for Predicting Properties of Lewis acid – Lewis base Adducts, ACS Omega, 8, 19119 (2023)
• Vy Anh Tran, Le Thi Nhu Quynh, Thu-Thao Thi Vo, Phuc An Nguyen, Ta Ngoc Don, Yasser Vasseghian,* Hung Phan,* Sang-Wha Lee,* Experimental and Computational Investigation of Green Knoevenagel Condensation Catalyzed by Zeolitic Imidazolate Framework, Environmental Research, 204, 112364 (2022) * Corresponding authors
• Hung Phan, Thomas J. Kelly, Andriy Zhugayevych, Guillermo C. Bazan, Thuc-Quyen Nguyen, Emily A. Jarvis, and Sergei Tretiak, Tuning Optical Properties of Conjugated Molecules by Lewis Acids: Insights from Electronic Structure Modeling, The Journal of Physical Chemistry Letters, 10, 4632 (2019)
• Hung Phan, Michael J. Ford, Alexander T. Lill, Ming Wang, Guillermo C. Bazan, and Thuc-Quyen Nguyen, Electrical Double-Slope Nonideality in Organic Field-Effect Transistors, Advanced Functional Materials, 28, 1707221 (2018)
• Hung Phan, Michael J. Ford, Alexander T. Lill, Ming Wang, Guillermo C. Bazan, and Thuc-Quyen Nguyen, Improving Electrical Stability and Ideality in Organic Field-Effect Transistors by the Addition of Fullerenes: Understanding the Working Mechanism, Advanced Functional Materials, 27, 1701358 (2017)
• Hung Phan, Matthew D. Yates, Nathan D. Kirchhofer, Guillermo C. Bazan, Leonard M. Tender and Thuc-Quyen Nguyen, Biofilm as a redox conductor: a systematic study of moisture and temperature dependence of its electrical properties, Phys. Chem. Chem. Phys, 18, 17815-17821 (2016)
• Hung Phan, Ming Wang, Guillermo C. Bazan, and Thuc-Quyen Nguyen, Electrical Instability of p-type Field-Effect Transistors from Low Band-gap Donor-Acceptor Polymer Induced by Electron Trapping, Advanced Materials 27, 7004–7009 (2015)
• Hung Phan, Justin P. Jahnke, Bradley F. Chmelka, and Thuc-Quyen Nguyen, Structural and optoelectronic properties of hybrid bulk-heterojunction materials based on conjugated small molecules and mesostructured TiO2. Applied Physics Letters. 104, 233305 (2014)
• Phan Vu Xuan Hung, Seung-Hee Cho, Seung-Hyeon Moon, Prediction of boron transport through seawater reverse osmosis membranes using solution–diffusion model. Desalination. 247, 33–44 (2009).

Full list of publications: https://scholar.google.com/citations?user=dcM7tkcAAAAJ&hl=en

• 2022-present, Visiting Assistant Professor of Chemistry, Soka University of America
• 2018-2022, Founding Faculty Member, Fulbright University Vietnam

• 2016 Best Poster Award, International Conference on Science and Technology of Synthetic Metals, China
• 2016 Mananya Tantiwiwat Fellowship Award, UCSB
• 2015 Dissertation Fellowship, UCSB
• 2015 First Prize, Art of Science Competition, UCSB