Issue 21, 2025

First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity

Abstract

Two-dimensional (2D) carbon-based materials are promising candidates for developing more efficient green energy conversion and storage technologies. This study presents a new 2D carbon allotrope, DOTT-carbon, characterized by its distinctive and multi-ring structure featuring 12-, 8-, 4-, and 3-membered rings of carbon atoms. We explore its structural, mechanical, and lithium-ion storage properties by employing density functional theory and machine learning simulations. Phonon calculations confirm its structural stability and ab initio molecular dynamics simulations demonstrate its thermal resilience at elevated temperatures. The material exhibits anisotropic mechanical properties, with Young's modulus values varying between 280–330 GPa. DOTT-carbon displays a lithium-ion storage capacity of 446.28 mA h g−1, complemented by a low diffusion barrier (0.2–0.9 eV) and a high diffusion coefficient (>1.0 × 10−6 cm2 s−1), possibly facilitating efficient lithium-ion transport. The stable open circuit voltage of 0.28 V also indicates its suitability as an anode material.

Graphical abstract: First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity

Supplementary files

Article information

Article type
Paper
Submitted
26 Fev 2025
Accepted
20 Mar 2025
First published
02 Avr 2025

J. Mater. Chem. A, 2025,13, 15609-15619

First-principles and machine learning insights into the design of DOTT-carbon and its lithium-ion storage capacity

K. A. L. Lima, A. V. P. Abreu, A. M. A. Silva and L. A. Ribeiro, J. Mater. Chem. A, 2025, 13, 15609 DOI: 10.1039/D5TA01619C

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