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Publications

Selected publications across catalysis, electrochemistry, and machine learning.

Selected Publications

  1. S. Zha1, C. Lin1, T. Choksi*, “A Perspective on Employing Computational Approaches to Interrogate Catalyst Restructuring.” ACS Catalysis , 2026, accepted.
  2. C. Lin, B. Lee, U. Anjum, A. Prabhu, T. Choksi*, “Harnessing physics-inspired machine learning to design nanocluster catalysts for dehydrogenating liquid organic hydrogen carriers.” Applied Catalysis B: Environmental, 2025, 371, 125192. [Publisher page]
  3. Z. Liang, W. Xu, J. Li*, C. Lin*, W. Zhang, W. Liu, X. H. Xia, Y. G. Zhou*, “Unveiling the solvent effect in plasmon enhanced electrochemistry via the nanoparticle-impact technique.” Nano Letters, 2023, 10871-10878. [Publisher page]
  4. X. Cai, R. Z. Xia, J. J. Ye, C. C. Huang, Y. F. Yang, L. K. Zhang, B. Liang, M. Yang, C. Lin*, P. H. Li*, X. J. Huang*, “Practical strategy for Arsenic (III) electroanalysis without modifier in natural water: Triggered by iron group Ions in solution.” Analytical Chemistry, 2023, 95(8), 4104-4112. [Publisher page]
  5. R. Zhong, X. Wang, Q. Tao, J. Zhang, C. Lin*, H. Wei*, Y. G. Zhou*, “From ensemble electrochemistry to Nano-Impact electrochemistry: Altered reaction selectivity.” Angewandte Chemie International Edition, 2022, 61, 2022072. [Publisher page]
  6. M. Yang, F. Xie, S. S. Li*, C. Lin*, X. J. Huang*, W. Q. Liu, “Zero-valent iron nanomaterial Fe0@ Fe2MnO4 for ultrasensitive electroanalysis of As(III): Fe0 influenced surficial redox potential.” Chemical Communications, 2021, 57, 1324-1327. [Publisher page]
  7. C. Lin1,*, J. J. Ye1, X. J. Huang, “Understanding the ensemble electrochemistry of random-walk nanoparticles: Improved reaction efficiency and mechanistic insights.” Chemical Engineering Journal, 2021, 418, 129393. [Publisher page]
  8. J. J. Ye, C. Lin*, X. J. Huang*, “Analyzing the anodic stripping square wave voltammetry of heavy metal ions via machine learning: Information beyond a single voltammetric peak.” Journal of Electroanalytical Chemistry, 2020, 872, 113934. [Publisher page]
  9. C. Lin, R. G. Compton*, “Understanding mass transport influenced electrocatalysis at the nanoscale via numerical simulation.” Current Opinion in Electrochemistry, 2019, 14, 186-199. [Publisher page]
  10. C. Lin, L. Sepunaru, E. Kätelhön, R. G. Compton*, “Electrochemistry of single enzymes: fluctuations of catalase activities.” The Journal of Physical Chemistry Letters, 2018, 9, 2814-2817. [Publisher page]
  11. C. Lin, E. Kätelhön, L. Sepunaru, R. G. Compton*, “Understanding single enzyme activity via the nano-impact technique.” Chemical Science, 2017, 8, 6423-6432. [Publisher page]
  12. X. Jiao1, C. Lin1, N. P. Young, C. Batchelor-McAuley, R. G. Compton*, “Hydrogen oxidation reaction on platinum nanoparticles: understanding the kinetics of electrocatalytic reactions via ‘nano-impacts’.” The Journal of Physical Chemistry C, 2016, 120, 13148-13158. [Publisher page]
  13. X. Li1, C. Lin1, C. Batchelor-McAuley, E. Laborda, L. Shao, R. G. Compton*, “New insights into fundamental electron transfer from single nanoparticle voltammetry.” The Journal of Physical Chemistry Letters, 2016, 7, 1554-1558. [Publisher page]
  14. C. Lin, C. Batchelor-McAuley, E. Laborda, R. G. Compton*, “Tafel–Volmer electrode reactions: The influence of electron-transfer kinetics.” The Journal of Physical Chemistry C, 2015, 119, 22415-22424. [Publisher page]
  15. C. Lin1, X. Jiao1, K. Tschulik, C. Batchelor-McAuley, R. G. Compton*, “Influence of adsorption kinetics upon the electrochemically reversible hydrogen oxidation reaction.” The Journal of Physical Chemistry C, 2015, 119, 16121-16130. [Publisher page]

All publications can be found on Google Scholar.

Conference Presentations

  1. “Designing Bimetallic Nanoparticles That Catalyze Methyl Cyclohexane Dehydrogenation Using Machine Learning,” Taiwan International Conference on Catalysis 2025, Hsinchu, Taiwan, Jun 2025.
  2. “A microkinetic model for methyl cyclohexane dehydrogenation combining experimental kinetics and first principles calculations with co-adsorbate interactions,” American Institute of Chemical Engineers Annual Meeting, San Diego, USA, Oct 2024.
  3. “Understanding the influence of microenvironment on electrocatalysis via single nanoparticle electrochemistry,” American Institute of Chemical Engineers Annual Meeting, San Diego, USA, Oct 2024.
  4. “Designing catalytic nanoparticles for methyl cyclohexane dehydrogenation via machine learning and microkinetic modelling,” the 18th International Congress on Catalysis, Lyon, France, Jul 2024.
  5. “The dehydrogenation of methyl cyclohexane on Pt nanoclusters: insights from a first principles microkinetic model,” American Institute of Chemical Engineers Annual Meeting, Orlando, USA, Nov 2023.
  6. “Kinetics modelling for nano-electrocatalysis: exploring the impact of mass transport on reactivity and selectivity,” the 74th Annual Meeting of the International Society of Electrochemistry, Lyon, France, Sept 2023.
  7. “Predicting the adsorption energies of cyclic hydrocarbons adsorbed on bimetallic nanoclusters using machine learning,” Southeast Asia Catalysis Conference, Singapore, May 2023.
  8. “Metal replacement causing interference in detecting multiple heavy metal analytes: kinetic study on Cd(II) and Cu(II) electroanalysis via experiment and simulation,” the 17th International Symposium on Electroanalytical Chemistry, Changchun, China, Aug 2019.
  9. “Single Enzyme Detection via the Nano-Impact Technique,” the 16th International Symposium on Electroanalytical Chemistry, Changchun, China, Aug 2017.
  10. “The hydrogen oxidation reaction on platinum nanoparticles: understanding the kinetics of electrocatalytic reactions via ‘Nano-Impacts’,” Electrochem, Leicester, UK, Jul 2016.