Quantum Chemistry-Driven Machine Learning Approach for the Prediction of the Surface Tension and Speed of Sound in Ionic Liquids-Reference-Cited by-同舟云学术

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

Published:2023-05-10 Issue:20 Volume:11 Page:7809-7821
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Mohan Mood¹²^ORCID,Smith Micholas Dean¹³^ORCID,Demerdash Omar N.¹²,Simmons Blake A.⁴⁵^ORCID,Singh Seema⁴,Kidder Michelle K.⁶^ORCID,Smith Jeremy C.¹³^ORCID

Affiliation:

1. Center for Molecular Biophysics, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States

2. Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States

3. Department of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, Tennessee 37996, United States

4. Deconstruction Division, Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, California 94608, United States

5. Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States

6. Manufacturing Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831-6201, United States

Funder

Chemical Sciences, Geosciences, and Biosciences Division

Biological and Environmental Research

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.3c00624

Reference81 articles.

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4. Effect of Protic and Aprotic Solvents on the Mechanism of Cellulose Dissolution in Ionic Liquids: A Combined Molecular Dynamics and Experimental Insight

5. Room-Temperature Ionic Liquids: Solvents for Synthesis and Catalysis. 2

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