Publications
33
Citations
440
Est. group size
—
Recurring co-author estimate
Active years
9
Publishing since 2018
Ranga Rohit Seemakurthi studies catalysis and electrochemistry using computational and machine-learning methods, with a strong focus on carbon dioxide (CO2) electroreduction—converting CO2 into useful fuels or chemicals using electricity and catalysts. Much of the work involves multiscale computer modeling to understand how catalyst surfaces, electrolyte environments, and reaction interfaces influence which products form, such as long-chain hydrocarbons. The research combines first-principles simulations (physics-based models of atoms and electrons) with data-driven descriptor frameworks to guide catalyst design.
Publication output has grown steadily over the last decade, rising from about 1 paper per year in 2018-2020 to 5-9 per year in 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- An end-to-end framework for reactivity in heterogeneous catalysis
Nature Chemical Engineering · 2026
- Interfacial Adsorbate Competition Regulates Intermediate Stabilization and Onset Potential in Acidic CO <sub>2</sub> Electroreduction
Journal of the American Chemical Society · 2026
- Operando Interfacial Dynamics Govern Cation Effects in Electrochemical CO2RR
ChemRxiv · 2026
- Operando Interfacial Dynamics Govern Cation Effects in Electrochemical CO2RR
ChemRxiv · 2026
- An experiment-guided descriptor framework for chain-growth CO2 electrocatalysis
ChemRxiv · 2026
- Microenvironment effects in electrochemical CO2 reduction from first-principles multiscale modelling
Nature Catalysis · 2025
- The Intricacies of Computational Electrochemistry
ACS Energy Letters · 2025
- Controlling hydrocarbon chain growth and degree of branching in CO2 electroreduction on fluorine-doped nickel catalysts
Nature Catalysis · 2025
- Graph‐Based High‐Throughput Framework for Screening Selective Propane Dehydrogenation Catalysts
ChemCatChem · 2025
- Microenvironment effects from first principles multiscale modeling of electrochemical CO2 reduction
ChemRxiv · 2025
- Enhanced proton transport in Fluorine-free membranes by balancing confinement and pore chemistry
ChemRxiv · 2025
- Microenvironment effects from first principles multiscale modeling of electrochemical CO2 reduction
ChemRxiv · 2025
- LCH_metals
ioChem-BD Computational Chemistry Datasets · 2025
- Operando Probing of Interfacial Reorganization in CO₂ Electrolysis up to 1 A·cm-2
2025
- CO<sub>2</sub> Electroreduction to Long‐Chain Hydrocarbons on Cobalt Catalysts
Advanced Energy Materials · 2024
- ChemRxiv×8
- ioChem-BD Computational Chemistry Datasets×4
- Nature Catalysis×2
- Advanced Energy Materials×2
- Chemical Reviews×1
- Quansong Zhu
Energy · The Ohio State University
- Zhihao Cui
Energy · The Ohio State University
- Jaclyn A. Rebstock
Energy · The Ohio State University
- Anne C. Co
Energy · The Ohio State University
- Brian M. Tackett
Energy · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile