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cond-mat.mtrl-sci2024
Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling
Marc Botifoll, Ivan Pinto-Huguet, Enzo Rotunno +17
(Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the…
cond-mat.mtrl-sci2024
Exploring Dielectric Properties in Models of Amorphous Boron Nitride
Thomas Galvani, Ali K. Hamze, Laura Caputo +8
We report a theoretical study of dielectric properties of models of amorphous Boron Nitride, using interatomic potentials generated by machine learning. We first perform first-prin…
cond-mat.mtrl-sci2024
Amorphous Boron Nitride as an Ultrathin Copper Diffusion Barrier for Advanced Interconnects
Onurcan Kaya, Hyeongjoon Kim, Byeongkyu Kim +7
This study focuses on amorphous boron nitride (-BN) as a novel diffusion barrier for advanced semiconductor technology, particularly addressing the critical challenge of cop…