ACS Omega
(Apr 2024)
Physics-Based Machine Learning Models Predict Carbon Dioxide Solubility in Chemically Reactive Deep Eutectic Solvents
- Mood Mohan,
- Omar N. Demerdash,
- Blake A. Simmons,
- Seema Singh,
- Michelle K. Kidder,
- Jeremy C. Smith
Affiliations
- Mood Mohan
- Biosciences Division and Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States
- Omar N. Demerdash
- Biosciences Division and Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States
- Blake A. Simmons
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, California, United States
- Seema Singh
- Deconstruction Division, Joint BioEnergy Institute, Emeryville, California, United States
- Michelle K. Kidder
- Manufacturing Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States
- Jeremy C. Smith
- Biosciences Division and Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States
- DOI
-
https://doi.org/10.1021/acsomega.4c01175
- Journal volume & issue
-
Vol. 9,
no. 17
pp.
19548
– 19559
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