Chandra, Priyanka, Raja Das, and Smita Sharma. "A hybrid deep neural network using the Levenberg–Marquart algorithm applied to the nonlinear magnetohydrodynamic Jeffery–Hamel blood flow problem." Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis. Academic Press, 2025. 91-110.

Chandra, Priyanka, and Raja Das. "Design of a unified physics-informed neural network using interior point algorithm to study the bioconvection nanofluid flow via stretching surface." Engineering Applications of Artificial Intelligence 133 (2024): 108647.

Chandra, Priyanka, et al. "Study of bio-nanofluid flow via vertical surface: A machine learning approach." Artificial Intelligence based Solutions for Industrial Applications. CRC Press, 2024. 267-291.

Chandra, Priyanka, and Raja Das. "A hybrid RSA-IPA optimizer for designing an artificial neural network to study the Jeffery-Hamel blood flow with copper nanoparticles: application to stenotic tapering artery." Results in Engineering 20 (2023): 101542.

Chandra, Priyanka, and Raja Das. "A hybrid machine learning algorithm for studying magnetized nanofluid flow containing gyrotactic microorganisms via a vertically inclined stretching surface." International Journal for Numerical Methods in Biomedical Engineering 40.1 (2023): e3780.

Chandra, Priyanka, and Raja Das. "Finite element based machine learning algorithm for studying gyrotactic nanofluid flow via stretching surface." International Journal for Numerical Methods in Fluids 95.12 (2023): 1888-1912.

Chandra, Priyanka, and Raja Das. "Impact of gyrotactic microorganisms in nanofluid via porous media along an inclined stretching plate: Finite element analysis." Numerical Heat Transfer, Part B: Fundamentals 83.6 (2023): 367-394.