Work

From data to device: Machine learning-driven optimization, predictions, and experimental insights for engineering high-performance MnO2 supercapacitors

Year: 2025

Type: article

Source: Colloids and Surfaces A Physicochemical and Engineering Aspects

DOI: 10.1016/j.colsurfa.2025.138392

Authors: Najmin Mursal, Anjali R. Shelake, Shubham A. Ahir, Pooja P. Sonawane, Manickam Selvaraj, Mohammed A. Assiri, Sachin V. Kulkarni, Santosh S. Sutar, Rutuja U. Amate, Chan-Wook Jeon, Tukaram D. Dongale, Prashant P. Shah

Institutions: Shivaji University, King Khalid University, Yeungnam University, Saveetha University

Language: English

Topic: Supercapacitor Materials and Fabrication

Subfield: Electronic, Optical and Magnetic Materials

Field: Materials Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: Deanship of Scientific Research, King Khalid University, King Khalid University, Rashtriya Uchchatar Shiksha Abhiyan

Award: G4721950091

OpenAlex ID: W4414309807

FWCI: 1.912

Cites: 78

Cited by: 12

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