Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing. - Salah A. Faroughi; Nikhil M. Pawar; Célio Fernandes; Subasish Das; Nima K. Kalantari; Seyed Kourosh Mahjour (CoRR, 2022)

Early Prediction of Characteristic Compressive Strength of Concrete Based on Mix Proportions Using Modified Dimensional Analysis. - Nikhil M. Pawar; Shubham Gujar; Hemant B. Dhonde; Damian Valles (CCWC, 2024)

Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media. - Nikhil M. Pawar; Ramin Soltanmohammadi; Shirko Faroughi; Salah A. Faroughi (Comput. Geosci., 2024)

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics. - Salah A. Faroughi; Nikhil M. Pawar; Célio Fernandes; Maziar Raissi; Subasish Das; Nima K. Kalantari; Seyed Kourosh Mahjour (J. Comput. Inf. Sci. Eng., 2024)

ESM data downscaling: a comparison of super-resolution deep learning models. - Nikhil M. Pawar; Ramin Soltanmohammadi; Seyed Kourosh Mahjour; Salah A. Faroughi (Earth Sci. Informatics, 2024)

Deep Learning Framework for Infrastructure Maintenance: Crack Detection and High-Resolution Imaging of Infrastructure Surfaces. - Nikhil M. Pawar; Jorge A. Prozzi; Feng Hong; Surya Sarat Chandra Congress (CoRR, 2025)