1 citations · 1 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2020★ 1 cited
Machine Learning in Materials Modeling -- Fundamentals and the Opportunities in 2D Materials
Shreeja Das, Hansraj Pegu, Kisor Sahu +4
The application of machine learning in materials presents a unique challenge of dealing with scarce and varied materials data - both experimental and theoretical. Nevertheless, sev…
cond-mat.mtrl-sci2020
Comprehensive understanding of water-driven graphene wrinkle life-cycle towards applications in flexible electronics: A computational study
Jatin Kashyap, Eui-Hyeok Yang, Dibakar Datta
The presence of wrinkles in Graphene Nanoribbons (GNR) and other two-dimensional (2D) materials significantly alter their mechanical, electronic, optical properties, which can be e…
physics.chem-ph2019
Controlled edge dependent stacking of WS2-WS2 Homo- and WS2-WSe2 Hetero-structures: A Computational Study
Kamalika Ghatak, Kyung Nam Kang, Eui-Hyeok Yang +1
Transition Metal Dichalcogenides (TMDs) are one of the most studied two-dimensional materials in the last 5-10 years due to their extremely interesting layer dependent properties.…