Dr. Suryoday Prodhan | Organic Semiconductors | Best Researcher Award
Assistant Professor | Birla Institute of Technology and Science | India
Dr. Suryoday Prodhan is a computational chemist specializing in the theoretical modeling of organic semiconducting materials, with expertise in strongly correlated electron systems and opto-electronic processes. His research bridges fundamental quantum chemistry and applied materials science, focusing on the design of high-performance organic semiconductors as alternatives to silicon-based technologies. He earned his Ph.D. at the Indian Institute of Science (IISc), Bangalore, under the supervision of Prof. S. Ramasesha, where he investigated opto-electronic processes in conjugated systems using exact diagonalization and density matrix renormalization group (DMRG) methods. His subsequent work has centered on charge transport, exciton dynamics, and high-throughput screening of semiconducting polymers, contributing both novel algorithms and scalable computational workflows. With a portfolio that includes transport simulations, polymer informatics, and exciton transport studies, Dr. Prodhan has established himself as an emerging leader in computational materials design, advancing both methodology and application in organic electronics.
Professional Profile
Education
Dr. Prodhan’s research experience spans multiple aspects of computational chemistry and materials modeling. During his doctoral work at IISc, he focused on exact diagonalization and DMRG studies of strongly correlated organic conjugated systems. His postdoctoral research and ongoing work have significantly advanced the understanding of charge and exciton transport in disordered polymers and nanostructured materials, employing state-of-the-art non-adiabatic molecular dynamics and surface hopping techniques. He has contributed to the development of scalable computational workflows for multiscale modeling of hole dynamics, enabling predictive design of high-mobility polymeric semiconductors. His high-throughput screening frameworks have expanded the discovery pipeline for efficient polymers, while his studies on exciton transport in nanofiber films have rationalized experimental findings of long exciton diffusion lengths. In addition, he has pioneered modifications to the symmetrized DMRG algorithm for studying electronic correlations. Collectively, his work advances theoretical methodologies while directly contributing to the field of organic opto-electronics.
Experience
Dr. Prodhan’s research experience spans multiple aspects of computational chemistry and materials modeling. During his doctoral work at IISc, he focused on exact diagonalization and DMRG studies of strongly correlated organic conjugated systems. His postdoctoral research and ongoing work have significantly advanced the understanding of charge and exciton transport in disordered polymers and nanostructured materials, employing state-of-the-art non-adiabatic molecular dynamics and surface hopping techniques. He has contributed to the development of scalable computational workflows for multiscale modeling of hole dynamics, enabling predictive design of high-mobility polymeric semiconductors. His high-throughput screening frameworks have expanded the discovery pipeline for efficient polymers, while his studies on exciton transport in nanofiber films have rationalized experimental findings of long exciton diffusion lengths. In addition, he has pioneered modifications to the symmetrized DMRG algorithm for studying electronic correlations. Collectively, his work advances theoretical methodologies while directly contributing to the field of organic opto-electronics.
Research Focus
Dr. Prodhan’s research focuses on the computational modeling of organic semiconductors, aiming to design efficient alternatives to silicon for electronic and opto-electronic applications. His work integrates quantum chemistry, electronic structure methods, and multiscale modeling to understand charge transport, exciton dynamics, and structure-property relationships in conjugated polymers. He has developed computational workflows for charge transport simulations in disordered systems, incorporating torsional fluctuations and polymer backbone dynamics through surface hopping techniques. He has advanced high-throughput screening methodologies to identify high-mobility polymers, establishing quantitative correlations between molecular structure and charge mobility. His studies on exciton transport in polymer nanofibers revealed transient exciton delocalization, providing theoretical validation for experimental findings. Additionally, he investigates the role of strong electronic correlations on opto-electronic processes such as thermally activated delayed fluorescence (TADF) and singlet fission, employing advanced methods like DMRG and diagrammatic valence bond theory. His overarching vision is in-silico design of high-performance organic materials.
Awards and Honors
While specific awards were not listed in the profile provided, Dr. Suryoday Prodhan’s career demonstrates recognition through highly competitive academic and research opportunities. His admission to premier institutions—St. Xavier’s College, IIT Roorkee, and IISc Bangalore—highlights his consistent academic excellence. He has been trained under the mentorship of eminent scientist Prof. S. Ramasesha, which positioned him to contribute to leading-edge developments in quantum many-body methods and organic semiconductors. His contributions to multiscale modeling workflows, high-throughput polymer screening, and exciton transport simulations have been acknowledged through collaborative projects and publications in peer-reviewed journals. Dr. Prodhan’s work sits at the intersection of physics, chemistry, and materials science, aligning with global efforts toward sustainable electronic materials. He has also participated in co-developing computational methodologies that are now applied to realistic polymer systems, which demonstrates peer recognition of his methodological innovations. His growing citation record reflects the impact and importance of his contributions.
Publication Top Notes
Efficient energy transport in an organic semiconductor mediated by transient exciton delocalization
Cited By: 128
Year: 2021
Long-range interactions boost singlet exciton diffusion in nanofibers of -extended polymer chains
Cited By: 39
Year: 2021
Cited By: 38
Year: 2020
Correlated electronic properties of some graphene nanoribbons: A DMRG study
Cited By: 28
Year: 2016
Conclusion
The researcher demonstrates a strong research profile, with a focus on computational modeling of organic semiconducting materials. Their work has the potential to contribute significantly to the field of organic electronics, and their expertise in developing novel computational methodologies is impressive. With further interdisciplinary collaboration and knowledge translation, they could become an even stronger candidate for the Best Researcher Award. Their research achievements and potential for future impact make them a promising contender for this award.