fig10

PINK: physical-informed machine learning for lattice thermal conductivity

Figure 10. (A) κL as a function of temperature for Ag3Te4X (X = W, Ta), Tl9SbTe6[62], SnSe[46], and PbQ (Q = Te, Se)[46]. Comparison of microscopy heat transport parameters for Ag3Te4X and Tl9SbTe6[62] at 300 K; (B) Cumulative κL using 3ph methods; (C) Specific heat capacity (CV) at constant volume; (D) Squared phonon group velocities (υ2) in the harmonic approximation; (E) Weighted phonon scattering phase space of 3ph; (F) Phonon scattering rates of 3ph.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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