Our Achievements

Recognizing our progress and impact in advancing AI-driven materials science.

1Q1-SCI
Publications
Published
2
Publications
Under Review
1
Patents
Published

Publications

High-impact research in leading peer-reviewed journals.

PublishedQ1-SCI
Next Materials (2026)

Physics-Informed Machine Learning for Specific Capacitance Prediction in Supercapacitors using a Curated Experimental Dataset and Composite Synergy Analysis

Authors: Shilpa Choudhary, Kasarapu Venkataramana, Sreethi Balasa, Kaushik Pashupathi, S. Pramod Reddy, Akshith Ponugoti.

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Under Review
2026

AI-Driven Solid-State Electrolyte Discovery

Authors: Shilpa Choudhary, Kasarapu Venkataramana, Indra Sena Reddy Katta, Sahasra Sama, Santhosh Kumar, Shanmukha Aanand, P. Sai Subodh

Under Review
2026

AI-Based Lithium-Ion Battery Capacity Prediction

Authors: Shilpa Choudhary, Kasarapu Venkataramana,M.A Raza, A.Ashreta,Sarde Raghava Manikanta,

Patents

Innovations protected for a sustainable future.

PublishedApplication Number: 202641084226

System and Method for Screening Crystalline Materials Using Dual Parameter Ionic Conductivity Prediction

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