Publications

Mohan, T. V. R., Palla, S., Kuppan, B., Kaisare, N. S., & Selvam, P. (2018). Hydrogen sorption characteristics of ordered mesoporous carbons: Experimental and modeling view point. Journal of Chemical & Engineering Data, 63(12), 4543-4551. 

Ethiraj, J., Palla, S., & Reinsch, H. (2020). Insights into high pressure gas adsorption properties of ZIF-67: Experimental and theoretical studies. microporous and mesoporous materials, 294, 109867.

Sridhar, P., & Kaisare, N. S. (2020). A critical analysis of transport models for refueling of MOF-5 based hydrogen adsorption system. Journal of Industrial and Engineering Chemistry, 85, 170-180. 

Palla, S., & Kaisare, N. S. (2020). On-board hydrogen storage in an adsorbent bed: Development of a multi-scale dynamic “1D-plus-1D” model. International Journal of Hydrogen Energy, 45(48), 25862-25874. 

Palla, S., & Kaisare, N. S. (2020). Evaluating the impact of pellet densification and graphite addition for design of on-board hydrogen storage in a fixed bed of MOF-5 pellets. International Journal of Hydrogen Energy, 45(48), 25875-25889. 

Bose, R., Ethiraj, J., Sridhar, P., Varghese, J. J., Kaisare, N. S., & Selvam, P. (2020). Adsorption of hydrogen and carbon dioxide in zeolitic imidazolate framework structure with SOD topology: Experimental and modelling studies. Adsorption, 26, 1027-1038. 

Mohan, T. V. R., Sridhar, P., & Selvam, P. (2023). Experimental and modelling studies of carbon dioxide capture onto pristine, nitrogen-doped, and activated ordered mesoporous carbons. RSC advances, 13(2), 973-989. 

Pritam, K., Puppala, H., Palla, S., Suriapparao, D. V., & Basak, T. (2023). A two-step hybrid multi-criteria approach to analyze the significance of parameters affecting microwave-assisted pyrolysis. Process Safety and Environmental Protection, 171, 975-985. 

Kulkarni, A., Mishra, G., Palla, S., Ramesh, P., Surya, D. V., & Basak, T. (2023). Advances in Computational Fluid Dynamics Modeling for Biomass Pyrolysis: A Review. Energies, 16(23), 7839. 

Pritam, K., Palla, S., Puppala, H., Srinivas, B. A., Luhaniwal, J., & Surya, D. V. (2023). Bibliometric Analysis of Research Progress in Microwave-Assisted Pyrolysis of Biomass during 1979-2023. Journal of Analytical and Applied Pyrolysis, 106331. 

Hamzah, H. T., Sridevi, V., Surya, D. V., Ramesh, P., Rao, C. S., Palla, S., & Abdullah, T. A. (2024). Synergistic effects and product yields in microwave-assisted in-situ co-pyrolysis of rice straw and paraffin wax. Process Safety and Environmental Protection, 182, 45-55. 

Hamzah, H. T., Sridevi, V., Surya, D. V., Palla, S., Yadav, A., & Rao, P. V. (2024). Conventional and microwave-assisted acid pretreatment of tea waste powder: analysis of functional groups using FTIR. Environmental Science and Pollution Research, 31(46), 57523-57532. 

Jha, N., Tanneru, H. K., Palla, S., & Mafat, I. H. (2024). Multivariate analysis and forecasting of the crude oil prices: Part I– Classical machine learning approaches. Energy, 296, 131185. 

Ethiraj, J., Shankar, B., Kumar, A. S. K., Ranjith, S., Annamalai, C., Sundaram, G. A., Palla, S., Vu, K. B. (2024). Unraveling the structural features of a contemporary 1, 4-dihydropyridine derivative through crystallographic and computational study. Journal of Molecular Structure, 1308, 138057. 

Mistry, C., Surya, D. V., Potnuri, R., Basak, T., Kumar, P. S., Rao, C. S., Gautam, R., Sridhar, P., Choksi, H., Remya, N. (2024). Effective electronic waste valorization via microwave-assisted pyrolysis: investigation of graphite susceptor and feedstock quantity on pyrolysis using experimental and polynomial regression techniques. Environmental Science and Pollution Research, 31(46), 57542-57558. 

Palla, S., Surya, D. V., Pritam, K., Puppala, H., Basak, T., & Palla, V. C. S. (2024). A critical review on the influence of operating parameters and feedstock characteristics on microwave pyrolysis of biomass. Environmental Science and Pollution Research, 1-24. 

Ba-Alawi, A. H., Palla, S., Ambati, S. R., Nguyen, H. T., Kim, S., & Yoo, C. (2024). Chemical-guided screening of topperforming metal–organic frameworks for hydrogen storage: An explainable deep attention convolutional model. Chemical Engineering Journal, 498, 155626. 

Mafat, I. H., Palla, S., Ambati, S. R., Narayana, R., Kumar, K. V. G., & Swaroop, G. J. (2024). Data-driven modeling of bio-oil yield in agricultural biomass pyrolysis with machine learning. International Journal of Hydrogen Energy.

Mafat, Iradat Hussain, and Sridhar Palla. "Recent advances in computational screening of metal-organic frameworks for carbon capture." Journal of Environmental Chemical Engineering (2025): 117789.