Our latest work at the intersection of Materials Science and Machine learning has been accepted to Computational Materials Science!


We are excited to announce that our latest research, titled “Enhancing the Electronic Properties of TiO₂ Nanoparticles through Carbon Doping: An Integrated DFTB and Computer Vision Approach by Mustafa Kurban, Can Polat, and Hasan Kurban”, has been accepted for publication in Computational Materials Science. This work represents an advancement at the intersection of materials science and machine learning to reduce doped materials simulation.

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