Synthesis and growth mechanism of vertically aligned graphene sheets with precise control over the number of layers for lithium–oxygen batteries

Author:

Kumar Atul12,Dager Akansha3,Kumar Mukesh4,Shamra Sudhanshu4ORCID,Baliyan Ankur5,Kumar Vinit6ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, Amity University, Greater Noida, 201308, India

2. Amity Institute of Nanotechnology, Amity University Uttar Pradesh, Sector-125, Noida, UP, 201313, India

3. Graduate School of Nanobioscience, Yokohama City University, 22-2 Seto, Kanazawa-Ku, Yokohama, 236-0027, Japan

4. Department of Chemistry, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, 382055, India

5. NISSAN ARC, LTD, 1-Natsushima-cho, Yokosuka, 236-0061, Japan

6. AIMMSCR, Amity University Uttar Pradesh, Sector-125, Noida, UP, 201313, India

Abstract

Engineering carbon nanowall (CNW) nanostructures is a daunting task. Machine learning powered analysis can assist the synthesis of vertical few-layer graphene (FLGs) nanostructures with precise control over the layers.

Funder

Council of Science and Technology, U.P.

Publisher

Royal Society of Chemistry (RSC)

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