Machine learning a bond order potential model to study thermal transport in WSe2 nanostructures

Volume: 11, Issue: 21, Pages: 10381 - 10392
Published: Jan 1, 2019
Abstract
Nanostructures of transition metal di-chalcogenides (TMDCs) exhibit exotic thermal, chemical and electronic properties, enabling diverse applications from thermoelectrics and catalysis to...
Paper Details
Title
Machine learning a bond order potential model to study thermal transport in WSe2 nanostructures
Published Date
Jan 1, 2019
Journal
Volume
11
Issue
21
Pages
10381 - 10392
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