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20122018
most citedA high-bias, low-variance introduction to Machine Learning for physicists

932 citations · 1k across the 8 of their papers we have counts for

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cond-mat.mtrl-sci2014★ 34 cited

Ginzburg-Landau theory of the bcc-liquid interface kinetic coefficient

Kuo-An Wu, Ching-Hao Wang, Jeffrey J. Hoyt +1

We extend the Ginzburg-Landau (GL) theory of atomically rough bcc-liquid interfaces [Wu {\it et al.}, Phys. Rev. B \textbf{73}, 094101 (2006)] outside of equilibrium. We use this e…

cond-mat.mtrl-sci2013

Crystalline symmetry and the melt-growth kinetics of solid-liquid interface

Ching-Hao Wang, Kuo-An Wu

One of the important factors governing the growth morphology of materials is the interface kinetic coefficient μ, which is the proportionality constant between the velocity of soli…