Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
M
Michael Ibukun Kolawole
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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4 h-index
11 pubs
60 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Michael Ibukun Kolawole, a graduate student at the University of Arkansas at Little Rock, focuses on copper-based nanomaterials. Actively publishing as recently as 2026, Kolawole's research explores the applications of these materials. His work is centered on the synthesis, characterization, and utilization of copper-based nanomaterials.
Metrics
- h-index: 4
- Publications: 11
- Citations: 60
Selected Publications
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Thermoelectrochemical Synthesis of Nanostructured Cupric Oxide (CuO) Using KMnO 4 as an Oxidant (2026)
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Smart electronics in solar-powered grid systems for enhanced renewable energy efficiency and reliability (2024)
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Innovative solar energy integration for efficient grid electricity management and advanced electronics applications (2024)
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Nanomaterials in electronics: Advancements and challenges in high-performance devices (2024)
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A review of quantum materials for advancement in nanotechnology and materials science (2024)
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Energy grid optimization using deep machine learning: A review of challenges, opportunities, and implementation strategies in MATLAB (2024)
Collaboration Network
Top Collaborators
Joseph Nnaemeka Chukwunweike
1 shared publication
- Energy grid optimization using deep machine learning: A review of challenges, opportunities, and implementation strategies in MATLAB
Moshood Yussuf
Decision Sciences (United States) (US)
1 shared publication
- Energy grid optimization using deep machine learning: A review of challenges, opportunities, and implementation strategies in MATLAB
Andrew Nii Anang
University of Northern Iowa (US)
1 shared publication
- Energy grid optimization using deep machine learning: A review of challenges, opportunities, and implementation strategies in MATLAB
Osamuyi Obasuyi
1 shared publication
- Energy grid optimization using deep machine learning: A review of challenges, opportunities, and implementation strategies in MATLAB
Martin Ifeanyi Mbamalu
Hochschule Bremerhaven (DE)
1 shared publication
- Energy grid optimization using deep machine learning: A review of challenges, opportunities, and implementation strategies in MATLAB
Victor Hammed
North Carolina Agricultural and Technical State University (US)
1 shared publication
- A review of quantum materials for advancement in nanotechnology and materials science
Daniel Edet Eyo
Teesside University (GB)
1 shared publication
- A review of quantum materials for advancement in nanotechnology and materials science
Taiwo Oluwanisola Omoloja
University of Abuja (NG)
1 shared publication
- A review of quantum materials for advancement in nanotechnology and materials science
Adeola Adeyemi
Kent State University (US)
1 shared publication
- A review of quantum materials for advancement in nanotechnology and materials science
Tolulope A. Kudoro
Howard University (US)
1 shared publication
- A review of quantum materials for advancement in nanotechnology and materials science
Habeeb Dolapo Salaudeen
Cleveland State University (US)
1 shared publication
- Nanomaterials in electronics: Advancements and challenges in high-performance devices
Rebecca Dupe Akinniranye
University of Arkansas at Little Rock
1 shared publication
In database
- Nanomaterials in electronics: Advancements and challenges in high-performance devices
Suleiman Yahaya
Cleveland State University (US)
1 shared publication
- Nanomaterials in electronics: Advancements and challenges in high-performance devices
Adeyemi Zaheed Oshilalu
1 shared publication
- Innovative solar energy integration for efficient grid electricity management and advanced electronics applications
Onaopemipo Taiwo
PepsiCo (United Kingdom) (GB)
1 shared publication
- Innovative solar energy integration for efficient grid electricity management and advanced electronics applications