B. Siddani

Machine learning for physics-informed generation of dispersed multiphase flow using generative adversarial networks

S. Balachandar, Yunchao Yang, B. Siddani, 2020, Theoretical and Computational Fluid Dynamics.

Rotational and reflectional equivariant convolutional neural network for data-limited applications: Multiphase flow demonstration

S. Balachandar, R. Fang, R. Fang, 2021, Physics of Fluids.

Rotational and Reflectional Equivariant CNN for data-limited applications: Multiphase Flow demonstration

S. Balachandar, R. Fang, B. Siddani, 2021 .

Point-particle drag, lift, and torque closure models using machine learning: Hierarchical approach and interpretability

S. Balachandar, B. Siddani, 2022, Physical Review Fluids.

Investigating the influence of particle distribution on force and torque statistics using hierarchical machine learning

B. Siddani, S. Balachandar, Jiazhong Zhou, 2024, AIChE Journal.