Machine learning statistical sampling produces temperature-dependent Raman spectra for crystalline 2H-MoS2 whose frequency shifts and linewidth trends match experimental data.
Ultra- fast nonadiabatic phonon renormalization in photoex- cited single-layer MoS2.The Journal of Physical Chem- istry C, 127(33):16515–16524
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cond-mat.mtrl-sci 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Temperature-dependent Raman spectra of 2H-MoS2 from Machine Learning-driven statistical sampling
Machine learning statistical sampling produces temperature-dependent Raman spectra for crystalline 2H-MoS2 whose frequency shifts and linewidth trends match experimental data.