Journal
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
Volume 12, Issue 11, Pages 2742-2748Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpclett.1c00482
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Funding
- National Natural Science Foundation of China-Major Research Plan [91961120]
- National Key R&D Program of China [2017YFB0701600]
- Innovative and Entrepreneurial Doctor (World-Famous Universities) in Jiangsu Province
- Talent in Demand in the city of Suzhou
- Collaborative Innovation Center of Suzhou Nano Science Technology
- Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
- 111 Project
- Joint International Research Laboratory of Carbon-based Functional Materials and Devices
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In this study, a combination of MXene and a two-dimensional organic framework was designed for Na-O-2 batteries, with Ti2CO2/Cu-BHT showing excellent performance including low OER and ORR overpotentials and moderate Eads(Na+). A new mechanism called the Na encapsulation mechanism was proposed on the surface of the two-dimensional organic framework. Through LASSO regression, a new descriptor consisting of inherent properties was found to help in screening better heterostructures for Na-O-2 batteries.
Na-O-2 batteries are promising candidates to replace Li-O-2 batteries for their excellent performance. However, the charge overpotential of Na-O-2 batteries is usually too high. In this work, we designed combinations of MXene and a two-dimensional organic framework for Na-O-2 batteries. The results show that the Ti2CO2/Cu-BHT has low OER and ORR overpotentials of 0.24 and 0.32 V, respectively. Besides this, the conductivity and the adsorption energy to Na+ (Eads(Na+)) are promoted due to the charge transfer between layers. We also found that the OER and ORR overpotentials are negatively and positively correlated with Eads(Na+), respectively, where Ti2CO2/Cu-BHT has a moderate Eads(Na+) (-2.20 eV) and, therefore, has good performance. Moreover, a new mechanism called the Na encapsulation mechanism was proposed on a two-dimensional organic framework surface. Through least absolute shrinkage and selection operator (LASSO) regression, we found a new descriptor that consists of inherent properties that could help us screen better heterostructures for Na-O-2 batteries.
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