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Ravichandran A, Honrao S, Xie S, Fonseca E, Lawson JW. Computational Design of Low Melting Eutectics of Molten Salts: A Combined Machine Learning and Thermodynamic Modeling Approach. J Phys Chem Lett 2024; 15:121-126. [PMID: 38147653 DOI: 10.1021/acs.jpclett.3c02888] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
We develop a computational framework combining thermodynamic and machine learning models to predict the melting temperatures of molten salt eutectic mixtures (Teut). The model shows an accuracy of ∼6% (mean absolute percentage error) over the entire data set. Using this approach, we screen millions of combinatorial eutectics ranging from binary to hexanary, predict new mixtures, and propose design rules that lead to low Teut. We show that heterogeneity in molecular sizes, quantified by the molecular volume of the components, and mixture configurational entropy, quantified by the number of mixture components, are important factors that can be exploited to design low Teut mixtures. While predicting eutectic composition with existing techniques had proved challenging, we provide some preliminary models for estimating the compositions. The high-throughput screening technique presented here is essential to design novel mixtures for target applications and efficiently navigate the vast design space of the eutectic mixtures.
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Affiliation(s)
- Ashwin Ravichandran
- KBR Inc., Intelligent Systems Division, NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Shreyas Honrao
- KBR Inc., Intelligent Systems Division, NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Stephen Xie
- KBR Inc., Intelligent Systems Division, NASA Ames Research Center, Moffett Field, California 94035, United States
| | - Eric Fonseca
- Intelligent Systems Division, NASA Ames Research Center, Moffett Field, California 94035, United States
| | - John W Lawson
- Intelligent Systems Division, NASA Ames Research Center, Moffett Field, California 94035, United States
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Liu T, Zhao S, Xiong Q, Yu J, Wang J, Huang G, Ni M, Zhang X. Reversible Discharge Products in Li-Air Batteries. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2208925. [PMID: 36502282 DOI: 10.1002/adma.202208925] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 12/06/2022] [Indexed: 05/19/2023]
Abstract
Lithium-air (Li-air) batteries stand out among the post-Li-ion batteries due to their high energy density, which has rapidly progressed in the past years. Regarding the fundamental mechanism of Li-air batteries that discharge products produced and decomposed during charging and recharging progress, the reversibility of products closely affects the battery performance. Along with the upsurge of the mainstream discharge products lithium peroxide, with devoted efforts to screening electrolytes, constructing high-efficiency cathodes, and optimizing anodes, much progress is made in the fundamental understanding and performance. However, the limited advancement is insufficient. In this case, the investigations of other discharge products, including lithium hydroxide, lithium superoxide, lithium oxide, and lithium carbonate, emerge and bring breakthroughs for the Li-air battery technologies. To deepen the understanding of the electrochemical reactions and conversions of discharge products in the battery, recent advances in the various discharge products, mainly focusing on the growth and decomposition mechanisms and the determining factors are systematically reviewed. The perspectives for Li-air batteries on the fundamental development of discharge products and future applications are also provided.
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Affiliation(s)
- Tong Liu
- Building Energy Research Group, Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
- The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, Guangdong, 518057, P. R. China
| | - Siyuan Zhao
- Building Energy Research Group, Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Qi Xiong
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China
| | - Jie Yu
- Building Energy Research Group, Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Jian Wang
- School of Energy and Environment, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong, 999077, P. R. China
| | - Gang Huang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China
| | - Meng Ni
- Building Energy Research Group, Department of Building and Real Estate, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, 999077, P. R. China
| | - Xinbo Zhang
- State Key Laboratory of Rare Earth Resource Utilization, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, 130022, P. R. China
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Chang HS, Lee BM, Yun JM, Choi JH. Preparation and electrochemical characterization of porous carbon pearls from carboxymethyl cellulose for electrical double-layer capacitors. KOREAN J CHEM ENG 2022. [DOI: 10.1007/s11814-021-1041-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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