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Predicting band gaps of ABN 3 perovskites: an account from machine learning and first-principle DFT studies
The present paper is primarily focused on predicting the band gaps of nitride perovskites
from machine learning (ML) models. The ML models have been framed from the feature …
from machine learning (ML) models. The ML models have been framed from the feature …
Ultrahigh strength and negative thermal expansion and low thermal conductivity in graphyne nanosheets confirmed by machine-learning interatomic potentials
After several decades of experimental endeavors, most recently large-area γ-graphyne
layered materials have been synthesized via a reversible dynamic alkyne metathesis …
layered materials have been synthesized via a reversible dynamic alkyne metathesis …
Abnormal strain-dependent thermal conductivity in biphenylene monolayer using machine learning interatomic potential
Applying tensile strain on an intrinsic lattice always results in the reduction in thermal
conductivity due to the red-shift of phonon frequency and enhanced phonon anharmonicity …
conductivity due to the red-shift of phonon frequency and enhanced phonon anharmonicity …
Engineering two-dimensional nodal semimetals in functionalized biphenylene by fluorine adatoms
We propose a band engineering scheme on the biphenylene network, a newly synthesized
carbon allotrope. We illustrate that the electronic structure of the biphenylene network can …
carbon allotrope. We illustrate that the electronic structure of the biphenylene network can …
Beryllium-doped biphenylene network: A first-principles study
X Gong, Y Fu, Y Xu, W Liu, J Xu - Materials Today Communications, 2024 - Elsevier
The controlled modification of material properties through do** has garnered significant
interest in materials science research. In this paper, employing first principles calculations …
interest in materials science research. In this paper, employing first principles calculations …
Functionalised biphenylene and graphenylene: excellent choices for supercapacitor electrodes
Quantum capacitance (CQ) is a crucial parameter that reflects the energy storage capacity of
supercapacitors. In this work, we extensively investigate the effect of vacancy induced …
supercapacitors. In this work, we extensively investigate the effect of vacancy induced …
Theoretical insights into the structural, electronic and thermoelectric properties of the inorganic biphenylene monolayer
Being motivated by a recently synthesized biphenylene carbon monolayer (BPN), using first
principles methods, we have studied its inorganic analogue (B–N analogue) named I-BPN …
principles methods, we have studied its inorganic analogue (B–N analogue) named I-BPN …
Stone–Wales decorated phagraphene: a potential candidate for supercapacitor electrodes and thermal transport
Carbon-based electrical double-layer capacitors or EDLC supercapacitors have recently
gained much attention due to their cost-effectiveness, environment friendliness, and stable …
gained much attention due to their cost-effectiveness, environment friendliness, and stable …
Biphenylene-Based Crystalline Foam Carbon Allotropes
X Li, T Chen, J Lin, J Jiang, H Guo… - … Applied Materials & …, 2025 - ACS Publications
Develo** new allotropes with excellent properties and high synthesizability is an
intriguing and challenging topic for carbon materials. Based on the experimental …
intriguing and challenging topic for carbon materials. Based on the experimental …
C3N based heterobilayers: a potential platform to explore optoelectronic and thermoelectric properties
We theoretically investigate the full thermal transport and optoelectronic features of two
established van der Waals heterostructures based on the recently synthesized monolayer of …
established van der Waals heterostructures based on the recently synthesized monolayer of …