Lattice Thermal Transport in Monolayer Group 13 Monochalcogenides MX (M = Ga, In; X = S, Se, Te): Interplay of Atomic Mass, Harmonicity, and Lone-Pair-Induced Anharmonicity
Nissimagoudar,
A.S.,
Rashid,
Z.,
Ma,
J.,
and
Li,
W.
Large lattice thermal conductivity, interplay between phonon-phonon, phonon-electron, and phonon-isotope scatterings, and electrical transport in molybdenum from first principles
Prediction and Characterization of NaGaS 2 , A High Thermal Conductivity Mid-Infrared Nonlinear Optical Material for High-Power Laser Frequency Conversion
Hou,
D.,
Nissimagoudar,
A.S.,
Bian,
Q.,
Wu,
K.,
Pan,
S.,
Li,
W.,
and
Yang,
Z.
The lattice thermal conductivity (κω) is a key property for many potential applications of compounds. Discovery of materials with very low or high κω remains an experimental challenge due to high costs and time-consuming synthesis procedures. High-throughput computational prescreening is a valuable approach for significantly reducing the set of candidate compounds. In this article, we introduce efficient methods for reliably estimating the bulk κω for a large number of compounds. The algorithms are based on a combination of machine-learning algorithms, physical insights, and automatic ab initio calculations. We scanned approximately 79,000 half-Heusler entries in the AFLOWLIB.org database. Among the 450 mechanically stable ordered semiconductors identified, we find that κω spans more than 2 orders of magnitude-a much larger range than that previously thought. κω is lowest for compounds whose elements in equivalent positions have large atomic radii. We then perform a thorough screening of thermodynamical stability that allows us to reduce the list to 75 systems.We then provide a quantitative estimate of κω for this selected range of systems. Three semiconductors having κω < 5 Wm-1 K-1 are proposed for further experimental study.
2013
Appl Phys Lett
Thermal conductivity and phonon linewidths of monolayer MoS2 from first principles