1.2k citations · 1.5k across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cond-mat.mtrl-sci2021★ 1.2k cited
Recent Advances and Applications of Deep Learning Methods in Materials Science
Kamal Choudhary, Brian DeCost, Chi Chen +10
Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data mo…
cond-mat.mtrl-sci2021
Scale-invariant Machine-learning Model Accelerates the Discovery of Quaternary Chalcogenides with Ultralow Lattice Thermal Conductivity
Koushik Pal, Cheol Woo Park, Yi Xia +2
Intrinsically low lattice thermal conductivity () is a desired requirement in many crystalline solids such as thermal barrier coatings and thermoelectrics. Here, we design an…