Analysis and Design of a New Dispersion Relation Preserving Alternate Direction Bidiagonal Compact Scheme. - Rikhi Bose; Tapan K. Sengupta (J. Sci. Comput., 2015)

Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach. - Rikhi Bose; Adam L. Pintar; Emil Simiu (CoRR, 2021)

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach. - Rikhi Bose; Adam L. Pintar; Emil Simiu (CoRR, 2022)

A real time prediction methodology for hurricane evolution using LSTM recurrent neural networks. - Rikhi Bose; Adam L. Pintar; Emil Simiu (Neural Comput. Appl., 2022)

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. - Arunabha M. Roy; Rikhi Bose; Jayabrata Bhaduri (Neural Comput. Appl., 2022)

Physics-aware deep learning framework for linear elasticity. - Arunabha M. Roy; Rikhi Bose (CoRR, 2023)

Accurate deep learning sub-grid scale models for large eddy simulations. - Rikhi Bose; Arunabha M. Roy (CoRR, 2023)

Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity. - Arunabha M. Roy; Rikhi Bose; Veera Sundararaghavan; Raymundo Arróyave (Neural Networks, 2023)

Invariance embedded physics-infused deep neural network-based sub-grid scale models for turbulent flows. - Rikhi Bose; Arunabha M. Roy (Eng. Appl. Artif. Intell., 2024)