Kabiraj, A and Mahapatra, S (2022) High-throughput assessment of two-dimensional electrode materials for energy storage devices. In: Cell Reports Physical Science, 3 (1).
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Abstract
The ultra-large surface-to-mass ratio of two-dimensional (2D) materials has made them an ideal choice for electrodes of compact lithium (Li)-ion batteries and supercapacitors; however, only a small fraction of the massive 2D material space has been investigated for such applications. Here, combining explicit-ion and implicit-solvent formalisms, we develop an automated, first-principles-based, high-throughput computational framework to assess thousands of such materials. We define four descriptors to map �computationally soft� single-Li-ion adsorption to �computationally hard� multiple-Li-ion-adsorbed configuration located at global minima for insight finding and rapid screening. Leveraging this large dataset, we also develop crystal-graph-based machine learning models for the accelerated discovery of potential candidates. A reactivity test with commercial electrolytes is further performed for wet experiments. Our holistic approach, which predicts both Li-ion storage and supercapacitive properties and hence identifies various important electrode materials that are common to both devices, may pave the way for next-generation energy storage systems. © 2021 The Author(s)
| Item Type: | Journal Article |
|---|---|
| Publication: | Cell Reports Physical Science |
| Publisher: | Cell Press |
| Additional Information: | The copyright for this article belongs to Authors |
| Department/Centre: | Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology) |
| Date Deposited: | 10 Feb 2022 11:52 |
| Last Modified: | 10 Feb 2022 11:52 |
| URI: | http://eprints.iisc.ac.in/id/eprint/71154 |
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