74 citations · 167 across the 9 of their papers we have counts for
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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…