1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Transfer Learning for Deep Learning-based Prediction of Lattice Thermal Conductivity
L. Klochko, M. d'Aquin, A. Togo +1
Machine learning promises to accelerate the material discovery by enabling high-throughput prediction of desirable macro-properties from atomic-level descriptors or structures. How…
cond-mat.soft2024
Spectral Mechanisms of Solid/Liquid Interfacial Heat Transfer in the Presence of a Meniscus
Abdullah El-Rifai, Liudmyla Klochko, Sreehari Perumanath +3
In this study, we employ molecular simulations to investigate the enhancement in thermal conductance at the solid/liquid interface in the presence of a meniscus reported previously…