CSE Faculty Publishes Q1 Research on AI-Based Property Prediction in Inorganic Materials
Dr. Purnachary Munigadapa, Assistant Professor, Department of Computer Science and Engineering, Anurag University, has successfully published a research article titled “Attention-based composition learning for thermodynamic and electronic property prediction in inorganic materials.” The article has been published in Next Materials, an Elsevier journal, in Volume 13 (2026), Article No. 103265.
The research explores attention-based composition learning techniques for predicting thermodynamic and electronic properties of inorganic materials, demonstrating the potential of AI-driven approaches to support materials research and accelerate the understanding of complex material characteristics. The work contributes to the growing intersection of Artificial Intelligence, computational modelling, and materials science.
The publication in a Q1 SCI-indexed journal with an Impact Factor of 4.7 reflects Dr. Purnachary Munigadapa’s commitment to impactful research and innovation. Anurag University congratulates him on this achievement and wishes him continued success in producing meaningful contributions to research and technology.
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By AU Media Team
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