Thermal conductivity of silicene calculated using an optimized Stillinger-Weber potential

By Xiaoliang Zhang, Han Xie, Ming Hu, Hua Bao, Shengying Yue, G. Qin, G. Su. 2014

223 citations recorded by the source corpus.

Subfields: Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/d7e0c5728dbfdaeb0944cecf0d556f2db1d5b6ad

Citations in the corpus

• Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport (2021, unknown): “In contrast, the lattice thermal conductivity values from MD simulations [83] using two versions (called SW1 and SW2) of the Stillinger-Weber potential [88] optimized for silicene [89] are well below this range.”
• Phonon hydrodynamics and its applications in nanoscale heat transport (2015, unknown): “In microscopic methods: N process and R process are simultaneously taken into account naturally when computing phonon scattering rates by the first-principle calculation [71,72,124]; in lattice dynamics [282] and in molecular dynamics simulation [283], N process is treated as an additional origin of”