Chemistry Faculty Publish SCIE Q3 Research on Ferrite Nanomaterials

Anurag University proudly congratulates Dr. Savita Belwal, Professor & Head, Department of Chemistry, along with Dr. Marri Pradeep Kumar, Dr. Bathini Srinivas, and Dr. D. Ravi Kumar, Assistant Professors, Department of Chemistry, on the publication of their research paper titled "Electrical, Magnetic, Photocatalytic, and Structural Properties of Ni and Ce Substituted Magnesium Nano Ferrites: A Citrate Gel Auto-Combustion Approach."
Published in the Journal of Superconductivity and Novel Magnetism, the research is indexed in Scopus and Web of Science (SCIE), with the journal recognized as Q3, having an Impact Factor of 2.0 and an H-Index of 69. The study investigates the synthesis and characterization of nickel- and cerium-substituted magnesium nanoferrites, highlighting their enhanced electrical, magnetic, structural, and photocatalytic properties. The findings contribute to the development of advanced multifunctional nanomaterials with potential applications in energy, environmental remediation, catalysis, and next-generation electronic devices.
This achievement reflects the Department of Chemistry's continued commitment to high-impact research, scientific innovation, and interdisciplinary collaboration. It also reinforces Anurag University's focus on advancing knowledge that addresses emerging technological challenges while strengthening its research excellence on the global stage.
Written By
By AU Media Team
More Stories You Might Like

Advancing Hexaferrite–Spinel Nanocomposite Research
Dr. M. Srinivasa Reddy, Professor & HoD, Department of Physics, has published a research paper in Next Materials on the comparative synthesis of hexaferrite–spinel nanocomposites, featured in a Q1 journal indexed in WoS, SCIE and Scopus.

Advancing Image Understanding Through Deep Learning
Ms. Palla Chamundeswari, Assistant Professor, Department of AIML, has published the book “Deep Learning Pathways for Image Understanding and Computer Vision Analytics”, contributing to knowledge in Deep Learning and Computer Vision.


