Ojus Mohan on Muck Rack

Ojus Mohan

(He/Him)
  • Assistant Professor, IIT Bombay
Mumbai
As seen in: Taylor & Francis Online, ACS Publications, Royal Society of Chemistry
Covers:  Catalysis, dft, computational catalysis, hydrogen generation, biomass, vasp, cpmd, molecular dynamics, molecular modeling
Assistant Professor, IIT Bombay

Get in touch with Ojus

Contact Ojus, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Ojus Mohan’s Biography

Read Full Bio →

Dr. Ojus Mohan is an Assistant Professor in the Department of Chemical Engineering at the Indian Institute of Technology Bombay (IITB). Prior to joining IITB, he worked as a Postdoctoral Fellow in the Department of Chemical and Materials Engineering at the University of Alberta, Canada. He holds a Ph.D. in Chemical Engineering from the Nanyang Technological University (NTU) in Singapore. His current research areas are hydrogen generation and carbon dioxide utilization.

Ojus Mohan’s Journalist Portfolio

A Combined Experimental and DFT Investigation of Selective Hydrodeoxygenation of Guaiacol over Bi...

A Combined Experimental and DFT Investigation of Selective Hydrodeoxygenation of Guaiacol over Bi...

Catalytic hydrodeoxygenation of fast pyrolysis bio-oils is a potential approach for producing green fuels. Th…

View article →
Investigating methane dry reforming on Ni and B promoted Ni surfaces: DFT assisted microkinetic a...

Investigating methane dry reforming on Ni and B promoted Ni surfaces: DFT assisted microkinetic a...

Dry reforming of methane (DRM) has incited significant academic and industrial attention in the past couple o…

View article →
Predicting CO2 adsorption and reactivity on transition metal surfaces using popular density funct...

Predicting CO2 adsorption and reactivity on transition metal surfaces using popular density funct...

ABSTRACT In this work, with Ni (110) as a model catalyst surface and CO 2 as an adsorbate, a performance stud…

View article →
Molecular insights into the activity and stability of popular methane reforming catalysts using q...

Molecular insights into the activity and stability of popular methane reforming catalysts using q...

Methane/natural gas is an alternative feedstock to produce fuels, chemicals and electricity, but its use is l…

View article →
Investigating CO2 Methanation on Ni and Ru: DFT Assisted Microkinetic Analysis

Investigating CO2 Methanation on Ni and Ru: DFT Assisted Microkinetic Analysis

View article →
Novel Nickel-Based Single-Atom Alloy Catalyst for CO2 Conversion Reactions: Computational Screeni...

Novel Nickel-Based Single-Atom Alloy Catalyst for CO2 Conversion Reactions: Computational Screeni...

Catalytic conversion of CO2 to methane and syngas are two promising routes for CO2 utilization. Even though n…

View article →

Articles

Machine Learning Accelerated Density Functional Theory Approach for Predicting Activation Barriers and Reaction Pathways in Methane-to-C2 Conversion

|
By Vashishtha B. Patel, Sumit Kumar, Ojus Mohan
| dx.doi.org
Open in Who Shared Issue with article?

The design and optimization of heterogeneous catalysts using computational methods

|
By Ojus Mohan, Tej Choksi, Nanyang Technological, Alexei A. Lapkin
| Royal Society of Chemistry
The design and optimization of heterogeneous catalysts using computational methods The computational design of catalytic materials is a high dimensional structure optimization problem that is limited by the bottleneck of expensive quantum computation tools. Current implementations of first principles computational models for catalyst design are data-hungry, problem-specific and confirmatory in nature.
Open in Who Shared Issue with article?

The Design and Optimization of Heterogeneous Catalysts using Computational Methods

|
By Shambhawi Shambhawi, Ojus Mohan, Tej Choksi, Alexei A. Lapkin
| Royal Society of Chemistry
The Design and Optimization of Heterogeneous Catalysts using Computational Methods The computational design of catalyst materials is a high dimensional structure optimization problem that is limited by the bottleneck of expensive quantum computation tools. Current implementations of first principles computational models for catalyst design are data-hungry and problem-specific.
Open in Who Shared Issue with article?
See all 7 articles

Interview

What tools and software do you use to do your job?

I use Vienna Ab initio Simulation Package (VASP) and Car–Parrinello molecular dynamics (CPMD) for performing quantum mechanical simulations.

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Get in touch with Ojus

Contact Ojus, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified