| Tunable nanochannels along graphene oxide/polymer core–shell nanosheets to enhance proton conductivity G He, C Chang, M Xu, S Hu, L Li, J Zhao, Z Li, Z Li, Y Yin, M Gang, H Wu, ... Advanced Functional Materials 25 (48), 7502-7511, 2015 | 105 | 2015 |
| A highly proton-conducting, methanol-blocking Nafion composite membrane enabled by surface-coating crosslinked sulfonated graphene oxide G He, X He, X Wang, C Chang, J Zhao, Z Li, H Wu, Z Jiang Chemical Communications 52 (10), 2173-2176, 2016 | 50 | 2016 |
| Highly hydroxide-conductive nanostructured solid electrolyte via predesigned ionic nanoaggregates G He, M Xu, Z Li, S Wang, S Jiang, X He, J Zhao, Z Li, X Wu, T Huang, ... ACS applied materials & interfaces 9 (34), 28346-28354, 2017 | 20 | 2017 |
| Pretreatment Effects on the Surface Chemistry of Small Oxygenates on Molybdenum Trioxide S Najmi, M Rasmussen, G Innocenti, C Chang, E Stavitski, SR Bare, ... ACS Catalysis 10 (15), 8187-8200, 2020 | 17 | 2020 |
| Classification of biomass reactions and predictions of reaction energies through machine learning C Chang, AJ Medford The Journal of Chemical Physics 153 (4), 2020 | 9 | 2020 |
| Molecular engineering of organic-inorganic interface towards high-performance polyelectrolyte membrane via amphiphilic block copolymer G He, J Zhao, C Chang, M Xu, S Wang, S Jiang, Z Li, X He, X Wu, Z Jiang Journal of Membrane Science 563, 1-9, 2018 | 9 | 2018 |
| Application of Density Functional Tight Binding and Machine Learning to Evaluate the Stability of Biomass Intermediates on the Rh (111) Surface C Chang, AJ Medford The Journal of Physical Chemistry C 125 (33), 18210-18216, 2021 | 8 | 2021 |
| Application of DFTB and machine learning to evaluate the stability of biomass intermediates on the Rh (111) surface C Chang, AJ Medford arXiv preprint arXiv:2105.12867, 2021 | | 2021 |
| Understanding Surface Changes to Molybdenum Trioxide (MoO 3) S Najmi, C Chang, M Rasmussen, JW Medlin, AJ Medford, C Sievers 2019 North American Catalysis Society Meeting, 2019 | | 2019 |
