Supporting Information Coupling the High-Throughput Property Map to Machine Learning for Predicting Lattice Thermal Conductivity Rinkle Juneja †,‡ , George Yumnam †,‡ , Swanti Satsangi † , and Abhishek K. Singh † ‡ Equal contribution † Materials Research Centre, Indian Institute of Science, Bangalore 560012, India Lattice thermal conductivity, phonon dispersion, and Gr¨ uneisen parameter of 116 compounds For all the screened compounds, lattice thermal conductivity, phonon dispersion, and Gr¨ uneisen parameter are calculated. The 2 ultralow and 2 ultrahigh κ l compounds are discussed in the main manuscript. The remaining 116 are presented here. Figures S1 - S5 show the lattice thermal conductivity, Figures S6 - S10 show the phonon dispersion, and Figures S11 - S15 show the Gr¨ uneisen parameter, respectively. GaP GeC InP MgS MgS CaTe CdS CdSe CdTe GaAs BeTe BiB CaS CaSe CaSe BaS BaSe BaTe BeS BeSe AlAs AlP AlSb BP BSb (F-43m) (F-43m) (F-43m) (F-43m) (F-43m) (Fm-3m) (Fm-3m) (Fm-3m) (F-43m) (F-43m) (F-43m) (F-43m) (Fm-3m) (F-43m) (Fm-3m) (Fm-3m) (F-43m) (F-43m) (F-43m) (F-43m) (F-43m) (F-43m) (F-43m) (F-43m) (Fm-3m) 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 500 1000 100 100 200 300 10 20 250 500 750 10 20 30 250 500 10 20 50 100 250 500 1000 2000 250 500 0 10 15 5 25 50 75 25 50 75 100 200 100 200 300 10 20 10 20 30 50 100 0 2500 1000 0 25 50 50 100 150 25 50 500 1000 1500 500 1000 Figure S1: Calculated DFT lattice thermal conductivity as a function of temperature for the nonmetallic and dynamically stable compounds. S-1