11/2023-present Materials Application Scientist
Contextualize, Marietta, GA, USA
04/2022-02/2023 Advanced Chemist
Eastman Chemical Company, Kingsport, TN, USA
09/2020-04/2022 Postdoc Researcher Advisor: Prof. Costas D. Maranas
The Pennsylvania State University, University Park, PA, USA
06/2017-09/2020 Postdoc Researcher Advisor: Prof. Adri C. T. van Duin
The Pennsylvania State University, University Park, PA, USA
11/2013-06/2017 Postdoc Researcher Advisor: Prof. Gregory A. Voth
The University of Chicago, Chicago, IL, USA
07/2011-11/2013 Lecturer
Wuhan University, Wuhan, Hubei, China
12/2007-06/2011 Ph. D. in Chemistry Advisor: Prof. Lin Zhuang
Wuhan University, Wuhan Hubei, China
09/2005-12/2007 M. S. in Chemistry Advisor: Prof. Lin Zhuang
Wuhan University, Wuhan Hubei, China
09/2001-06/2005 B. S. in Chemistry
Wuhan University, Wuhan Hubei, China
First-author or corresponding-author publications
C. Chen, V. S. Boorla, R. Chowdhury, R. H. Nissly, A. Gontu, S. K. Chothe, L. LaBella, P. Jakka, S. Ramasamy, K. J. Vandegrift, M. S. Nair, S. V. Kuchipudi, C. D. Maranas*, A CNN model for predicting binding affinity changes between SARS-CoV-2 spike RBD variants and ACE2 homologues. bioRxiv DOI: 10.1101/2022.03.22.485413 (2022). (link)
C. Chen, V. S. Boorla, D. Banerjee, R. Chowdhury, V. S. Cavener, R. H. Nissly, A. Gontu, N. R. Boyle, K. J. Vandegrift, M. S. Nair, S. V. Kuchipudi*, C. D. Maranas*, Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike and human ACE2 receptor. Proc. Natl. Acad. Sci. USA 118, e2106480118 (2021). (link)
C. Chen, C. Arntsen, Y.-L. S. Tse*, Simulation study of the effects of phase separation on hydroxide solvation and transport in anion exchange membranes. J. Chem. Phys. 152, 094903 (2020). (link)
C. Chen, C. Arntsen, G. A. Voth*, Development of reactive force fields using ab initio molecular dynamics simulation minimally biased to experimental data. J. Chem. Phys. 147, 161719 (2017). (link)
C. Arntsen, C. Chen (co-1st author), G. A. Voth*, Reactive molecular dynamics models from ab initio molecular dynamics data using relative entropy minimization. Chem. Phys. Lett. 683, 573-578 (2017). (link)
C. Chen, Y.-L. S. Tse, G. E. Lindberg, C. Knight, G. A. Voth*, Hydroxide solvation and transport in anion exchange membrane. J. Am. Chem. Soc. 138, 991-1000 (2016). (link)
C. Chen, J. Pan*, J. Han, Y. Wang, L. Zhu, M. A. Hickner*, L. Zhuang, Varying the microphase separation patterns of alkaline polymer electrolytes. J. Mater. Chem. A 4, 4071-4081 (2016). (link)
C. Chen, K. Lu, X. Li, J. Dong, J. Lu, L. Zhuang*, A many-body dissipative particle dynamics study of fluid-fluid spontaneous capillary displacement. RSC Adv. 4, 6545-6555 (2014). (link)
J. Pan, C. Chen (co-1st author), Y. Li, L. Wang, L. Tan, G. Li, X. Tang, L. Xiao, J. Lu, L. Zhuang*, Constructing ionic highway in alkaline polymer electrolytes. Energy Environ. Sci. 7, 354-360 (2014). [Inside front cover of the Jan 2014 issue] (link)
C. Chen, K. Lu, L. Zhuang*, X. Li, J. Dong, J. Lu, Effective fluid front of the moving meniscus in capillary. Langmuir 29, 3269-3273 (2013). (link)
W. Zhou, Y. Lu, C. Gao, W. Li, Y. Zhang, X. Li, C. Chen*, J. Dong*, Effects of flow pattern and pore size on immiscible continuous three-phase displacement. Energy & Fuels 27, 717-724 (2013). (link)
C. Chen, L. Zhuang*, X. Li, J. Dong, J. Lu, A many-body dissipative particle dynamics study of forced water-oil displacement in capillary. Langmuir 28, 1330-1336 (2012). (link)
C. Chen, C. Gao, L. Zhuang*, X. Li, P. Wu, J. Dong, J. Lu, A many-body dissipative particle dynamics study of spontaneous capillary imbibition and drainage. Langmuir 26, 9533-9538 (2010). (link)
Other-author publications
N. Nayir, S. Bartolucci, Tao Wang, C. Chen, J. Maurer, J. M. Redwing, and A. C. T. van Duin*, Modulation effect of substrate interactions on nucleation and growth of MoS2 on silica. J. Phys. Chem. C 127, 9039 (2023). (link)
A. T. Jacobson*, C. Chen, J. C. Dewey, G. C. Copeland, W. T. Allen, B. Richards, J. P. Kaszuba, A. C. T. van Duin, H. Cho, M. Deo, Y. She, T. P. Martin, Effect of nanoconfinement and pore geometry on point of zero charge in synthesized mesoporous siliceous materials. JCIS Open 8, 100069 (2022). (link)
K. J. Vandegrift*, M. Yon, M. Surendran Nair, A. Gontu, S. Ramasamy, S. Amirthalingam, S. Neerukonda, R. H.Nissly, S. K. Chothe, P. Jakka, L. LaBella, N. Levine, S. Rodriguez, C. Chen, V. Sheersh Boorla, T. Stuber, J. R. Boulanger, N. Kotschwar, S. G. Aucoin, R. Simon, K. L. Toal, R. J. Olsen, J. J. Davis, D. Bold, N. N. Gaudreault, K. Dinali Perera, Y. Kim, K.-O. Chang, C. D. Maranas, J. A. Richt, J. M. Musser, P. J. Hudson, V. Kapur*, S. V. Kuchipudi*, SARS-CoV-2 Omicron (B.1.1.529) infection of wild white-tailed deer in New York City. Viruses 14, 2770 (2022). (link)
A. Gontu, E. A. Marlin, S. Ramasamy, S. Neerukonda, G. Anil, J. Morgan, M. Quraishi, C. Chen, V. S. Boorla, R. H. Nissly, P. Jakka, S. K. Chothe, A. Ravichandran, N. Kodali, S. Amirthalingam, L. Labella, K. Kelly, P. Natesan, A. M. Minns, R. M. Rossi, J. R. Werner, E. Hovingh, S. E. Lindner, D. Tewari, V. Kapur, K. J. Vandegrift, C. D. Maranas, M. S. Nair*, S. V. Kuchipudi*, Development and validation of indirect enzyme-linked immunosorbent assays for detecting antibodies to SARS-CoV-2 in cattle, swine, and chicken. Viruses 14, 1358 (2022). (link)
N. Dasgupta, C. Chen, A. C. T. van Duin*, Development and application of ReaxFF methodology for understanding the chemical dynamics of metal carbonates in aqueous solutions. Phys. Chem. Chem. Phys. 24, 3322-3337 (2022). (link)
C. Arntsen, C. Chen, P. Calio, C. Li, G. A. Voth*, The hopping mechanism of the hydrated excess proton and its contribution to proton diffusion in water. J. Chem. Phys. 154, 194506 (2021). (link)
T. Du, C. Chen, M. G. Muraleedharan, A. C. T. van Duin, P. Newell*, Nanomechanical investigation of the interplay between pore morphology and crack orientation of amorphous silica. Eng. Fract. Mech. 250, 107749 (2021). (link)
J. Han, Y. Wu, J. Pan, Y. Peng, Y. Wang, C. Chen, Q. Pan, B. Xie, N. Zhao, Y. Wang, J. Lu, L. Xiao, L. Zhuang*, Highly conductive and stable hybrid Ionic cross-linked sulfonated PEEK for fuel cell. Electrochim. Acta 291, 353 (2018). (link)
Y.-L. S. Tse, C. Chen, G. E. Lindberg, R. Kumar, G. A. Voth*, Propensity of hydrated excess protons and hydroxide anions for the air–water interface. J. Am. Chem. Soc. 137, 12610-12616 (2015). (link)
G. Li, Y. Wang, J. Pan*, J. Han, Q. Liu, X. Li, P. Li, C. Chen, L. Xiao, J. Lu, L. Zhuang, Carbonation effects on the performance of alkaline polymer electrolyte fuel cells. Int. J. Hydrogen Energy 40, 6655-6660 (2015). (link)
J. Han, Q. Liu, X. Li, J. Pan, L. Wei, Y. Wu, H. Peng, Y. Wang, G. Li, C. Chen, L. Xiao, J. Lu, L. Zhuang*, An effective approach for alleviating cation-induced backbone degradation in aromatic ether-based alkaline polymer electrolytes. ACS Appl. Mater. Interface 7, 2809-2816 (2015). (link)
J. Han, H. Peng, J. Pan*, L. Wei, G. Li, C. Chen, L. Xiao, J. Lu, L. Zhuang, Highly stable alkaline polymer electrolyte based on polyetheretherketone backbone. ACS Appl. Mater. Interface 5, 13405-13411 (2013). (link)
G. Li, J. Pan*, J. Han, C. Chen, J. Lu, L. Zhuang, Ultrathin composite membrane of alkaline polymer electrolyte for fuel cell applications. J. Mater. Chem. A 1, 12497-12502 (2013). (link)
L. Cheng, Z. Jiang, J. Dong, B. Cai, Y. Yang, X. Li*, C. Chen, Monolayers of novel Gemini amphiphiles with phthalimide headgroups at the air/water interface: pH and alkyl chain length effects. J. Colloid Interface Sci. 401, 97-106 (2013). (link)
J. Pan, Y. Li, J. Han, G. Li, L. Tan, C. Chen, J. Lu, L. Zhuang*, A strategy for disentangling the conductivity–stability dilemma in alkaline polymer electrolytes. Energy Environ. Sci. 6, 2912-2915 (2013). (link)
J. Pan, C. Chen, L. Zhuang*, J. Lu, Designing advanced alkaline polymer electrolytes for fuel cell applications. Acc. Chem. Res. 45, 473-481 (2012). [Cover of the March 2013 issue] (link)
J. Pan, C. Chen, L. Zhuang*, J. Lu, Structure-performance relationship study of alkaline polymer electrolytes. ECS Trans. 41, 69 (2011). (link)
SAS Certified Specialist: Base Programming Using SAS 9.4 (Certificate Verification Number: VEZJC3S1JEV1Q5SN) (link)
SAS Certified Specialist: Advanced Programming Using SAS 9.4 (Certificate Verification Number: L751X3EKBJ11Q7SQ) (link)
Google Data Analytics Certificate (link)
Foundations: Data, Data, Everywhere
Ask Questions to Make Data-Driven Decisions
Prepare Data for Exploration
Process Data from Dirty to Clean
Analyze Data to Answer Questions
Share Data Through the Art of Visualization
Data Analysis with R Programming
Google Data Analytics Capstone: Complete a Case Study
Data Science: Foundations using R Specialization (link)
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Learn SQL Basics for Data Science (link)
SQL for Data Science
Data Wrangling, Analysis and AB Testing with SQL
Distributed Computing with Spark SQL
SQL for Data Science Capstone Project
Machine Learning Specialization (link)
Supervised Machine Learning: Regression and Classification
Advanced Learning Algorithms
Unsupervised Learning, Recommenders, Reinforcement Learning
Deep Learning Specialization (link)
Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models
Django for Everybody Specialization (link)
Web Application Technologies and Django
Building Web Applications in Django
Django Features and Libraries
Using JavaScript, JQuery, and JSON in Django
AWS Cloud Technical Essentials (link)
Getting Started with SAS Programming (link)
Machine Learning (link)
MongoDB Aggregation Framework (link)
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (link)
Finding Hidden Messages in DNA (Bioinformatics I) (link)