Mood Mohan

6PUBLICATIONS
15CO-AUTHORS
Microfluidics and nanofluidicsChemical and thermal processes in energy and combustionCarbon capture engineering (excl. sequestration)Separation technologiesExperimental methods in fluid flow, heat and mass transfer
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Publications (6)

|Jun 06, 2025
Deep Learning Approaches for Predicting the Surface Tension of Ionic Liquids.

Nikhitha Gugulothu, Mood Mohan, Madaline R Marland

|Sep 05, 2024
Molecular-level design of alternative media for energy-saving pilot-scale fibrillation of nanocellulose.

Shih-Hsien Liu, Shalini J Rukmani, Mood Mohan

|May 06, 2024
Physics-Based Machine Learning Models Predict Carbon Dioxide Solubility in Chemically Reactive Deep Eutectic Solvents.

Mood Mohan, Omar N Demerdash, Blake A Simmons

|Feb 22, 2024
Accurate Machine Learning for Predicting the Viscosities of Deep Eutectic Solvents.

Mood Mohan, Karuna Devi Jetti, Micholas Dean Smith

|Jun 01, 2023
Predictive understanding of the surface tension and velocity of sound in ionic liquids using machine learning.

Mood Mohan, Micholas Dean Smith, Omar Demerdash

|Oct 14, 2022
Renewable Schiff-Base Ionic Liquids for Lignocellulosic Biomass Pretreatment.

Hemant Choudhary, Venkataramana R Pidatala, Mood Mohan

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Frequent Collaborators

5 joint publications

Jeremy C Smith

4 joint publications

Michelle K Kidder

2 joint publications

Blake A Simmons

2 joint publications

Micholas Dean Smith