Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene
Yapay öğrenme algoritmaları, iki açıda bozulmuş bükümlü çok katmanlı grafende güçlü fonon lokalizasyonu nedeniyle termal iletkenlikte dramatik azalmayı ortaya koymaktadır.
Researchers have utilized machine learning algorithms to uncover a significant decrease in thermal conductivity within twisted multilayer graphene. This reduction is attributed to strong phonon localization, a phenomenon where atomic vibrations become confined. The study focused on graphene samples with disorder introduced at two specific angles.
Understanding these thermal properties is crucial for developing advanced materials used in electronics and thermal management systems.
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