Assist Prof Dr. Sridhar Palla | Molecular Modeling | Young Scientist Award

Indian Institute Of Petroleum And Energy | India




Sridhar Palla embarked on his academic journey with a Bachelor's degree in Chemical Engineering from Andhra University College of Engineering, Visakhapatnam, India. His passion for exploring the intricacies of chemical processes led him to pursue advanced studies, culminating in a Master's and Ph.D. in Chemical Engineering from the prestigious Indian Institute of Technology Madras. During his doctoral tenure, he delved deep into his research, focusing on "Multiscale Modeling of Adsorption Hydrogen Storage in Metal-Organic Frameworks," showcasing his early prowess in Molecular Modeling.


Sridhar's professional journey has been marked by significant contributions and diverse experiences. Following the completion of his Ph.D., he ventured into the realm of academia as a Post-Doctoral Research Associate at the University of Liverpool, UK. Here, he immersed himself in Data-driven Modeling and High Throughput Screening of metal-organic frameworks for gas separation. Subsequently, he continued his academic pursuits as a Post-Doctoral Equivalent Fellow at IIT Madras, where he investigated the thermodynamics of combined CO2 reduction with ethane oxidative dehydrogenation by Mo2C catalyst.


With expertise in Molecular Modeling, Ab initio/Quantum calculations, and Artificial Intelligence, Sridhar has made significant contributions to the field of Chemical Engineering. His research interests primarily revolve around Data-driven Modeling and High Throughput Screening, employing techniques such as Machine Learning, Density Functional Theory (DFT), Molecular Dynamics (MD), and Grand Canonical Monte Carlo (GCMC). His proficiency in utilizing tools like Python, MATLAB, and various simulation software underscores his commitment to advancing research in the field.


Sridhar's work has had a tangible impact on both academia and industry. His ongoing project on "Experimental and theoretical investigation of metal-organic framework (MOF) adsorbents for post-combustion carbon capture," funded by the Institute Research Grant (IRG), exemplifies his dedication to addressing pressing environmental challenges. Moreover, his consultancy role with GITAA Pvt Ltd for Data Science-related problems underscores his ability to bridge the gap between theoretical research and practical applications.


Sridhar's scholarly contributions have garnered recognition, evident from his numerous guest lectures and invited talks at prestigious institutions and industry forums. His expertise in areas such as "Carbon capture and separation from flue gases" and "Hydrogen generation and storage" has been sought after by organizations like RINL, HPCL, and General Electric, reflecting the scholarly impact of his research.


Sridhar's legacy lies in his commitment to pushing the boundaries of Molecular Modeling and its applications in addressing critical societal and industrial challenges. As the co-convenor for the 1st International Conference on Trends in Chemical Energy and Environmental Engineering (ChemEEE-2024), he continues to foster collaboration and knowledge exchange in the academic community. His future contributions are poised to further elevate the field of Chemical Engineering, leaving a lasting imprint on research, education, and industry practices.


Molecular modeling stands as a cornerstone of Dr. Palla's research, manifesting in his expertise in employing techniques such as Density Functional Theory (DFT), Molecular Dynamics (MD), and Grand Canonical Monte Carlo (GCMC) for understanding and predicting the behavior of materials at the molecular level. Through his proficiency in molecular modeling, Dr. Palla has significantly contributed to advancements in gas separation, adsorption, and catalysis, facilitating the development of innovative solutions for sustainable energy and environmental technologies.


Synergistic effects and product yields in microwave-assisted in-situ co-pyrolysis of rice straw and paraffin wax

Year: 2024   Citation: 1

A two-step hybrid multi-criteria approach to analyze the significance of parameters affecting microwave-assisted pyrolysis

Year: 2023   Citation: 5

Sridhar Palla | Molecular Modeling | Young Scientist Award

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