Mechanisms of strength, thermal stability, and doping effects in metal-doped bilayer borophene for energy storage applications using a DFT-trained deep-learning potential

Journal of Materials Chemistry A 2026

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Authors: Shin‐Pon Ju, An-Zhi Lin, Shan-Han Lo, Hui‐Lung Chen, Hsin‐Tsung Chen, Chen Hsing-Yin
DOI: 10.1039/d5ta08592f
Cited by: 0
References: 29

Abstract

DFT-trained deep-learning potentials are used to uncover how Al and Ru dopants tune strength and structural transition temperatures in bilayer borophene, guiding design for robust 2D devices.

Fields of Study & Subjects

Boron and Carbon Nanomaterials Research Graphene research and applications Thermal properties of materials

Publication details

Journal / source
Journal of Materials Chemistry A
Volume
14
Issue
14
Pages
8307–8320
Publication date
1 January 2026
Language
EN