An automated materials and processes identification tool for material informatics using deep learning approach-Reference-Cited by-同舟云学术

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An automated materials and processes identification tool for material informatics using deep learning approach

Published:2023-09 Issue:9 Volume:9 Page:e20003
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Miah M. Saef Ullah^ORCID,Sulaiman Junaida,Sarwar Talha Bin^ORCID,Ibrahim Nur,Masuduzzaman Md^ORCID,Jose Rajan^ORCID

Funder

Universitas Telkom

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference70 articles.

1. Addressing sustainability gaps;Ramakrishna;Sci. Total Environ.,2022

2. Introduction of Electric Double Layer Capacitor;Chemicon,2020

3. Energy storage in electrochemical capacitors: designing functional materials to improve performance;Hall;Energy Environ. Sci.,2010

4. Understanding electrochemical capacitors with in-situ techniques;Pal;Renew. Sustain. Energy Rev.,2021

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