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Mood Mohan

Staff R&D Associate

Oak Ridge National Laboratory

United States

Research Interests

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Articles (19)

Collaborators (6)

Rachel Getman

Ohio State University

UNITED STATES

Katherine Copenhaver

R&D Associate Staff

Oak Ridge National Laboratory

UNITED STATES

Blake Simmons

Division Director

Lawrence Berkeley National Laboratory

UNITED STATES

Micholas Smith

Research Assistant Professor

University of Tennessee

UNITED STATES

Kai Li

R&D Associate Staff

Oak Ridge National Laboratory

UNITED STATES

Meghan Lamm

Staff Member

Oak Ridge National Laboratory

UNITED STATES

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Mood Mohan

Research Interests

Explore related searches

Articles (19)

Collaborators (6)

Rachel Getman

Katherine Copenhaver

Blake Simmons

Micholas Smith

Kai Li

Meghan Lamm

Make your next move.

Mood Mohan

Research Interests

Explore related searches

Articles (19)

Multiscale molecular insights into carbon dioxide chemisorption in amine-functionalized deep eutectic solvents

Deep eutectic solvents in lignocellulosic biorefineries: a comprehensive review of mechanistic insights, molecular modeling, and artificial intelligence

Leveraging Natural Language Processing and Generative Models in Molecular Chemistry: Property Prediction and Novel Compound Generation

Molecular simulation and artificial intelligence for the circular economy of bioenergy and bioproducts

Deep Learning Approaches for Predicting the Surface Tension of Ionic Liquids

Physics-informed machine learning to predict solvatochromic parameters of designer solvents with case studies in CO2 and lignin dissolution

Molecular property prediction for very large databases with natural language processing: a case study in ionic liquid design

Accurate Machine Learning for Predicting the Viscosities of Deep Eutectic Solvents

High-Throughput Screening and Accurate Prediction of Ionic Liquid Viscosities Using Interpretable Machine Learning

Molecular-level design of alternative media for energy-saving pilot-scale fibrillation of nanocellulose

Macroscale properties and atomic-scale mechanisms of ash removal in low-temperature hydrothermal carbonization

Physics-Based Machine Learning Models Predict Carbon Dioxide Solubility in Chemically Reactive Deep Eutectic Solvents

Characterization of the acoustic cavitation in ionic liquids in a horn-type ultrasound reactor

Multiscale investigation of the mechanism of biomass deconstruction in the dimethyl isosorbide/water Co-solvent pretreatment system

Predictive understanding of the surface tension and velocity of sound in ionic liquids using machine learning

Quantum Chemistry-Driven Machine Learning Approach for the Prediction of the Surface Tension and Speed of Sound in Ionic Liquids

Biomass pretreatment with distillable ionic liquids for an effective recycling and recovery approach

Multiscale molecular simulations for the solvation of lignin in ionic liquids

Accurate prediction of carbon dioxide capture by deep eutectic solvents using quantum chemistry and a neural network

Collaborators (6)

Rachel Getman

Katherine Copenhaver

Blake Simmons

Micholas Smith

Kai Li

Meghan Lamm

Make your next move.