Ling Chen

Dr Ling Chen

Research Staff

School of Chemical Engineering

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


My research centers on the computational design and discovery of efficient, low-cost catalysts for sustainable energy applications, using first-principles calculations and high-throughput screening techniques. I specialize in electrocatalysis, with complementary experience in photocatalysis, and focus on reactions central to the Water, Carbon, and Nitrogen cycles, including:

  • Hydrogen Evolution (HER) and Hydrogen Oxidation (HOR)
  • Oxygen Evolution (OER) and Oxygen Reduction (ORR)
  • Carbon Dioxide Reduction (CO₂RR)
  • Nitrogen Reduction (NRR)

Key areas of contribution:

  • Carbon Cycle Catalysts: Designing transition-metal and single-atom catalysts for CO₂-to-fuel conversion via C–C coupling and multi-carbon product selectivity, inspired by biological CO₂ fixation and aided by reaction pathway analysis and descriptor engineering.
  • Nitrogen Cycle Catalysts: Developing cost-effective, non-precious catalysts for sustainable ammonia synthesis through mechanistic insights into N≡N bond activation, using Density Functional Theory (DFT) and thermodynamic/kinetic modeling.
  • Water Cycle Catalysts: Engineering high-performance electrocatalysts for OER/ORR in water-splitting and fuel cell systems, with a focus on activity–stability trade-offs, spin-state tuning, and support–catalyst interactions.

My computational toolbox includes VASP, CP2K, LAMMPS, and Python-based automation workflows, supporting scalable and reproducible catalyst discovery pipelines across multiple reaction environments.

2020, CHEM ENG 7102 Computation for Material Engineering, as tutor

2021, Master of Engineering Research Project 2021s1, as co-supervisor

2021, Research Project RP210212, as co-supervisor

2022, Master of Engineering Research Project 2022s1, as co-supervisor

2022, CHEM ENG 7102 Computation for Material Engineering, as lecturer

2023, CHEM ENG 7102 Computation for Material Engineering, as lecturer

2024, MAT ENG 7102 Computation for Material Engineering, as lecturer

  • Memberships

    Date Role Membership Country
    2009 - ongoing Member Engineers Australia Australia
  • Position: Research Staff
  • Email: ling.chen@adelaide.edu.au
  • Campus: North Terrace
  • Building: Engineering North, floor First Floor
  • Org Unit: School of Chemical Engineering

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External Profiles