Enhancing the electronic properties of TiO2 nanoparticles through carbon doping: An integrated DFTB and computer vision approach

Kurban, Mustafa; Polat, Can; Serpedin, Erchin; Kurban, Hasan

doi:10.1016/j.commatsci.2024.113248

Computational Materials Science

2024

DOI: 10.1016/j.commatsci.2024.113248

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Enhancing the electronic properties of TiO2 nanoparticles through carbon doping: An integrated DFTB and computer vision approach

Mustafa Kurban,

Can Polat,

Erchin Serpedin

et al.

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QuantumShellNet: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions

Polat,

Kurban,

Kurban

2025

Computational Materials Science

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QuantumShellNet: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions

Polat,

Kurban,

Kurban

2025

Computational Materials Science

View full text Add to dashboard Cite

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Enhancing the electronic properties of TiO2 nanoparticles through carbon doping: An integrated DFTB and computer vision approach

Cited by 1 publication

References 54 publications

QuantumShellNet: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions

QuantumShellNet: Ground-state eigenvalue prediction of materials using electronic shell structures and fermionic properties via convolutions

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