Yoon Gyu Lee

Abstract AI-based tools for objective structured clinical examination (OSCE) preparation show promise under controlled evaluation, but whether learners voluntarily adopt them intensively during authentic high-stakes licensure preparation remains unclear.

1 Introduction The transport of heat is a key property of any solid. It is challenging to measure, difficult to compute, and currently the subject of lively debate surrounding new theories.[1-14] From the standpoint of materials design, the ability to predict atomistic or mesoscale transport is valuable. Perhaps the most obvious application of these methods is to thermoelectric materials,[15] where control over heat flow relative to electrical conductivity is paramount.

Graphical Abstract In article number 2400306, D. A. Drabold and co-workers propose a method to compute an atom-resolved thermal conductivity of materials based on the harmonic approximation and Kubo formula. The method has been applied to amorphous graphene (a-G), grain boundaries and point defects in silicon. The cover figure illustrates heat conduction in a-G. Note the percolative character of conduction, and the impact of ring disorder and preferred role for hexagons.