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Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning
Journal article   Open access  Peer reviewed

Electronic, Optical, Mechanical and Li-Ion Storage Properties of Novel Benzotrithiophene-Based Graphdiyne Monolayers Explored by First Principles and Machine Learning

Bohayra Mortazavi, Fazel Shojaei, Masoud Shahrokhi, Timon Rabczuk, Alexander Shapeev and Xiaoying Zhuang
Batteries (Basel), Vol.8(10), p.194
01/10/2022

Abstract

Approximation Datasets Energy gap Energy storage First principles Graphene Ion storage Lattices Lithium ions Localization Machine learning Monolayers Nanoelectronics Nanomaterials Nanostructure Optical properties Physical properties Simulation Storage capacity Symmetry Water splitting
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https://doi.org/10.3390/batteries8100194View
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