43 citations · 71 across the 5 of their papers we have counts for
5 papers
SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
Samrendra Roy, Souvik Chakraborty, Rizwan-uddin +1
Neural operators have emerged as powerful surrogates for partial differential equation (PDE) solvers, yet they are typically trained as monolithic models for individual PDEs, requi…
Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
Samrendra Roy, Kazuma Kobayashi, Souvik Chakraborty +2
Operator learning models are rapidly emerging as the predictive core of digital twins for nuclear and energy systems, promising real-time field reconstruction from sparse sensor me…
Contact Angle Adjustment in Equation of States Based Pseudo-Potential Model
Anjie Hu, Longjian Li, Rizwan Uddin
Single component pseudo-potential lattice Boltzmann model has been widely applied in multiphase simulation due to its simplicity and stability. In many research, it has been claime…
Surface Tension Adjustment in a Pseudo-Potential Lattice Boltzmann Model
Anjie Hu, Longjian Li, Rizwan Uddin
Pseudo-potential lattice Boltzmann models have been widely applied in many multiphase simulations. However, most of these models still suffer from some drawbacks such as spurious v…
Force Method in a Pseudo-potential Lattice Boltzmann Model
Anjie Hu, Longjian Li, Rizwan Uddin
Single component pseudo-potential lattice Boltzmann models have been widely studied due to their simplicity and stability in multiphase simulations. While numerous model have been…