Dr. Nishi Parikh
M.Sc., Ph.D.
Welcome to my corner of the digital universe! I'm Nishi, a passionate data scientist specializing in the intersection of machine learning and material science, with a primary focus on advancing the capabilities of Li-ion batteries and electric vehicles (EVs).
Armed with a Ph.D. in Machine Learning for Material Science, I bring a unique blend of academic rigor and practical know-how to the table. My journey began with a solid foundation in Chemistry, cultivated during my M.Sc. days, which provides me with a deep understanding of the intricacies of materials and their behaviors at a molecular level.
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Publications
N. Parikh et al. Is machine learning redefining the perovskite solar cells?, J. Energy Chem. 66 (2022) 74–90.
N. Parikh et al. Probing the Low-Frequency Response of Impedance Spectroscopy of Halide Perovskite Single Crystals Using Machine Learning, ACS Applied Materials & Interfaces 15 (23), 27801-27808.
N. Parikh* et al. Deconvoluting the Impedance Response of Halide Perovskite Single Crystals: The Distribution of Relaxation Time Method, The Journal of Physical Chemistry C 127 (24), 11609-11615.