Krupal P. Jethava
Papers
2
Total Citations
131
H-Index
2
About
Krupal P. Jethava is a researcher at the intersection of chemistry and artificial intelligence, whose pioneering work focuses on applying deep learning to spectroscopic analysis. His major contribution lies in developing spectral deep learning models that automate the identification of functional groups in unknown chemical compounds—a task traditionally requiring expert spectroscopists to interpret complex FTIR, MS, and NMR data. His most cited paper, "Spectral deep learning for prediction and prospective validation of functional groups" (2020), has garnered 122 citations, demonstrating its significant impact on the field. This work represents a paradigm shift, offering a faster, more accessible approach to chemical characterization that could accelerate drug discovery and materials science. An earlier version of this research (2019) also contributed to the foundation of this methodology. Jethava’s achievements highlight the transformative potential of machine learning in analytical chemistry, making him a notable figure for students and researchers interested in computational spectroscopy and AI-driven scientific discovery.
Research Focus
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Top Papers
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