26 citations · 26 across the 2 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2019
Hassle-free Approach to Thermal Transport Measurements Using Spatial-Temporal Temperature Data
Ding Ding, Kedar Hippalgaonkar
Nanoscale engineering and novel materials have created interesting effects in thermal transport. Thermal conductivity can now be different due to physical and heating sizes. Also,…
cond-mat.mtrl-sci2019★ 26 cited
Machine Learning for Novel Thermal-Materials Discovery: Early Successes, Opportunities, and Challenges
Hang Zhang, Kedar Hippalgaonkar, Tonio Buonassisi +3
High-throughput computational and experimental design of materials aided by machine learning have become an increasingly important field in material science. This area of research…
cond-mat.mes-hall2018
Phonon Coherence and Its Effect on Thermal Conductivity of Nanostructures
Guofeng Xie, Ding Ding, Gang Zhang
The concept of coherence is one of the fundamental phenomena in electronics and optics. In addition to electron and photon, phonon, is another important energy and information carr…