1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2026
A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems
Kiran Yalamanchi, Shivam Barwey, Ibrahim Jarrah +1
Computational fluid dynamics (CFD) simulations of complex fluid flows in energy systems are prohibitively expensive due to strong nonlinearities and multiscale-multiphysics interac…
cs.LG2025★ 1 cited
A Generative Deep Learning Workflow for Inverse Molecular Design of Fuels
Kiran K. Yalamanchi, Pinaki Pal, Balaji Mohan +3
In the present work, a generative deep learning framework combining a Co-optimized Variational Autoencoder (Co-VAE) with quantitative structure-property relationship (QSPR) techniq…