Nitish Govindarajan

Lawrence Livermore National Laboratory — United States

Energy · Physical Sciences

17h-index1.5kcitations80works6.92yr avg
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Research Topics

CO2 Reduction Techniques and Catalysts(34), Electrocatalysts for Energy Conversion(29), Electrochemical Analysis and Applications(25), Ionic liquids properties and applications(13), Advanced battery technologies research(12)

Publications80 total

Optimized tandem catalyst patterning for CO$_2$ reduction flow reactors
arXiv (Cornell University)·2025Open Access
The Open Catalyst 2025 (OC25) Dataset and Models for Solid-Liquid Interfaces
ArXiv.org·2025· 3 citedOpen Access
The Intricacies of Computational Electrochemistry
ACS Energy Letters·2025· 12 citedOpen Access
Understanding cation and surface charging effects at electrified interfaces using neural network interatomic potentials
2025· 2 citedOpen Access
Understanding cation and surface charging effects at electrified interfaces using neural network interatomic potentials
2025· 3 citedOpen Access
Understanding the Unique Reactivity of Cu for Electrochemical CO<sub>2</sub> Reduction with a 3-Site Model
The Journal of Physical Chemistry Letters·2025· 3 citedOpen Access
Insights into the Electrochemical Oxidation and Reduction of Nickel Oxide Surfaces
ACS Applied Materials & Interfaces·2024· 8 citedOpen Access
Comprehensive sampling of coverage effects in catalysis by leveraging generalization in neural network models
Digital Discovery·2024· 7 citedOpen Access
Assessing the Sensitivity of Pourbaix Diagrams to Computational Protocols: Electrochemical Stability of Ni Oxides as a Case Study
The Journal of Physical Chemistry C·2024· 6 citedOpen Access
Mechanistic Insights into the Electrochemical Oxidation of 5-Hydroxymethylfurfural on a Thin Film Ni Anode
ECS Meeting Abstracts·2024Open Access
Author response for "Comprehensive sampling of coverage effects in catalysis by leveraging generalization in neural network models"
2024
Comprehensive sampling of coverage effects in catalysis by leveraging generalization in neural network models
2024· 1 citedOpen Access
Coupling Microkinetics with Continuum Transport Models to Understand CO2R on Planar and Optimized Patterned Electrodes
ECS Meeting Abstracts·2024
Theoretical Investigation of the Adsorbate and Potential-Induced Stability of Cu Facets during Electrochemical CO<sub>2</sub> and CO Reduction
ECS Meeting Abstracts·2024
Mass Transport Regimes in a CO2R Gas Diffusion Electrode Pore with Coupled Microkinetics Model
ECS Meeting Abstracts·2024
Modeling Bicarbonate Kinetics on Silver Catalysts for CO<sub>2</sub> Electrolysis
ECS Meeting Abstracts·2024
(Invited) Electrosynthesis of Carbon Dioxide to Ethylene
ECS Meeting Abstracts·2024
Integrated Experiment-Theory Framework for Studying Mass Transport Effects in Electrochemical CO<sub>2</sub> Reduction on Copper
ECS Meeting Abstracts·2024
Mechanistic Insights into the Electrochemical Oxidation of 5-Hydroxymethylfurfural on a Thin-Film Ni Anode
ACS Catalysis·2024· 31 citedOpen Access
EchemFEM: A Firedrake-based Python package forelectrochemical transport
The Journal of Open Source Software·2024· 1 citedOpen Access
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Frequent Co-authors

Karen Chan(15), Georg Kastlunger(15), Christopher Hahn(14), Hendrik H. Heenen(12), Evert Jan Meijer(11), Joel B. Varley(9), Sihang Liu(6), Lei Wang(5), Stefan Ringe(5), Thomas F. Jaramillo(5), Aoni Xu(4), Vivek Sinha(4), Bas de Bruin(4), Hèctor Prats(4), Sneha A. Akhade(4), Mónica Trincado(3), Hansjörg Grützmacher(3), Aditya Prajapati(3), Wenyu Sun(3), Jeremy T. Feaster(3)