Pankaj D. Indurkar
Central Salt and Marine Chemicals Research Institute, National Institute of Technology Rourkela
About
My research interests focus on the design and development of advanced ion-exchange membranes and proceses for energy and environmental applications. I am particularly interested in the synthesis and optimization of functional polymeric membranes, including cation and anion exchange systems, for processes such as electrodialysis and redox flow batteries. My work integrates experimental approaches with data-driven techniques, especially machine learning, to tailor membrane composition, enhance ion transport properties, and improve overall performance. I also explore structure–property relationships to understand how molecular architecture influences conductivity, selectivity, and stability. Additionally, I am interested in scaling up membrane fabrication and evaluating long-term chemical and mechanical stability under harsh operating conditions, aiming to develop efficient and durable materials for sustainable desalination and energy storage technologies.
Employment
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Central Salt and Marine Chemicals Research Institute Senior Scientist
Education
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National Institute of Technology Rourkela M.Tech
Projects & Funding
Projects & funding information is unavailable.
Publications (19)
- Hydrodynamics Investigation of Electrodeionization Resin Bed for Improved Ultrapure Water Production Save
- Modeling and prediction of operating parameters in electrodialysis process for water desalination: Integration of machine learning and response surface methodology Save
- Synthesis of polyacrylonitrile-based terpolymer cation exchange membrane for efficient brackish water desalination via electrodialysis with neural network prediction Save
- Electrochemical informed machine learning models for prediction of electrodialysis desalination performance Save
- A revolutionizing polymeric framework with integrated aluminium fragment for superior water decontamination empowered by a statistical modeling approach Save
- Designing of PVDF-Based Cation Exchange Membranes with Improved Electrochemical Properties for Energy-Efficient Brackish Water Desalination Save
- Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes Save
- Mitigation of arsenic and fluoride from water via porous polymeric network knitted with zirconium moiety in three-dimensional shape: Experimental and mathematical modeling investigation Save
- Parametric optimization and modeling of continuous electrocoagulation process for the removal of fluoride: Response surface methodology and machine learning approach Save
- Iron oxide impregnated Pongamia pinnata microporous biochar composite as an effective bio-adsorbent for the remediation of arsenic ions from water Save