Machine Learning Interatomic Potential for Modeling the Mechanical and Thermal Properties of Naphthyl-Based Nanotubes
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Hugo X. Rodrigues, Hudson R. Armando, Daniel A. da Silva, João Paulo C. L. da Costa, Luiz Antônio Ribeiro, Marcelo Lopes Pereira
A tiny carbon structure can stay intact at temperatures far beyond ordinary industrial heat, yet snap suddenly when stretched. This study builds a faster way to find out exactly where those limits lie.
Two-dimensional (2D) nanomaterials are at the forefront of potential technological advancements. Carbon-based materials have been extensively studied since synthesizing graphene, which revealed properties of great interest for novel applications across diverse scientific and technological domains. New carbon allotropes continue to be explored theoretically, with several successful synthesis processes for carbon-based materials recently achieved. In this context, this study investigates the mechanical and thermal properties of DHQ-based monolayers and nanotubes, a carbon allotrope characterized by 4-, 6-, and 10-membered carbon rings, with a potential synthesis route using naphthalene as a molecular precursor. A machine-learned interatomic potential (MLIP) was developed to explore this nanomaterial’s mechanical Supporting Information and thermal behavior at larger scales than those accessible through the first-principles calculations. The MLIP was trained on data derived from the DFT/PBE (density functional theory/Perdew−Burke−Ernzerhof) level using ab initio molecular dynamics (AIMD). Classical molecular dynamics (CMD) simulations, employing the trained MLIP, revealed that Young’s modulus of DHQbased nanotubes ranges from 127 to 243 N/m, depending on chirality and diameter, with fracture occurring at strains between 13.6 and 17.4% of the initial length. Regarding thermal response, a critical temperature of 2200 K was identified, marking the onset of a transition to an amorphous phase at higher temperatures.
Transcript
A tiny carbon structure can stay intact at temperatures far beyond ordinary industrial heat, yet snap suddenly when stretched. This study builds a faster way to find out exactly where those limits lie. Nanomaterials matter because their large surface area and tiny size can help improve electronics, energy storage, sensors, and medical materials.
Their shape—whether a sheet or a tube—also changes how they behave. Carbon is especially useful because its atoms can form many strong structures, including single-layer sheets and tubes with unusual electrical, thermal, and mechanical properties. The challenge is that ordinary computer models cannot easily handle this material at the larger scales needed to study sheets and tubes.
Existing force rules also did not scale well for this particular carbon structure. The force rules were learned from a database built using ab initio calculations, providing the atomic reference data used to train the model.
The central idea is like teaching a language translator from many carefully checked examples: once the learned force rules recognize how atoms usually respond, they can predict much larger systems without repeating every costly calculation. The force field was applied to flat monolayers and tube-shaped topologies, and the study also examined the nanomaterial’s response to temperature.
A stable material should vibrate in physically sensible ways, without frequencies dropping below zero. Here, the two calculations produce closely matching vibration patterns across the crystal, supporting use of the trained model to study its dynamics without repeating every expensive calculation.
This sheet can carry increasing force until it suddenly breaks, rather than stretching gradually and recovering. It also resists pulling differently in the two in-plane directions, with stiffnesses of about two hundred and two hundred forty-three newtons per metre.
For the tubes, increasing the number of repeated sections eventually makes their stiffness and breaking strength behave more like a flat sheet. The amount of stretching needed for complete failure changes little. The tubes also break in a brittle way, with small openings forming before the tube separates completely.
Heat reveals a sharp limit. The carbon structure keeps its arrangement of four-, six-, and ten-sided rings up to a critical temperature of two thousand two hundred kelvin. Above that point, bonds repeatedly rearrange and the organized structure becomes more like a disordered solid.
At the critical temperature it remains preserved, but at a slightly higher temperature it does not. There is an important caution: the learned rules had few direct examples of very high temperatures, so they may miss fine details of how the material becomes disordered.
Future improvements could address this limitation by retraining the model with an expanded data set that includes high-temperature configurations derived from DFT calculations. The study finds that these carbon sheets and tubes can be modeled well enough to test strength and heat at much larger scales.
That could help researchers judge where such materials might be useful before building them.
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