Shayan Shahbazi

Review of Considerations for Molten Salt Reactor Off-gas Inventory Simulation

Alexander George Macris, Ondrej Chvála, Shayan Shahbazi, Andres Nicolas Fierro Lopez et autres

Liquid-fueled molten salt reactors present a complicated modeling problem due to the spatial distribution of radionuclides throughout the system. The mechanisms of transfer for species in the system vary widely depending on the location in the reactor. To accurately model the inventory …

us (code pays fourni par la source)

Nuclear Archeology of the Chicago Piles

M. Alex Brown, Shayan Shahbazi, Derek R. McLain, Paul K. Romano et autres

Abstract In 1942, the Chicago Pile-1 experiment achieved a state of self-sustained fission chain reactions known as criticality, inaugurating the nuclear age. Despite its historical significance, most of the physical remnants from CP-1 and its successor CP-2 were dismantled and discarded, leaving …

us (code pays fourni par la source)

Review of Considerations for Molten Salt Reactor Off-gas Inventory Simulation

Alexander George Macris, Ondrej Chvála, Shayan Shahbazi, Andres Nicolas Fierro Lopez et autres

Liquid-fueled molten salt reactors present a complicated modeling problem due to the spatial distribution of radionuclides throughout the system. The mechanisms of transfer for species in the system vary widely depending on the location in the reactor. To accurately model the inventory …

us (code pays fourni par la source)

Correction to: Radiochemical transport analysis of gamma spectroscopic data to support estimation of molten salt reactor off-gas inventories

Shayan Shahbazi, Tingzhou Fei

us (code pays fourni par la source)

Accuracy of the Scaled Flux Method for Spatially Resolved Nuclide Transmutation in Flowing-Fuel Molten Salt Reactors

Luke Seifert, Shayan Shahbazi, Scott Richards, Madicken Munk et autres

Depletion simulations of flowing-fuel molten salt reactors do not typically distinguish between the in-core and ex-core regions. Instead, they either irradiate the entire primary loop while scaling the flux, or irradiate the in-core volume alone, which leaves some amount of fuel salt …

us (code pays fourni par la source)

Toward a Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry‐Informed Transfer Learning

J. R. Barra, Shayan Shahbazi, Anthony Birri, Rajni Chahal et autres

Optimally designing applications of molten salts requires knowledge of their thermophysical properties over a wide range of temperatures and compositions. There exist significant gaps in existing databases and this data can be challenging to experimentally measure due to high temperatures, salt corrosivity, …

us (code pays fourni par la source)

Radiochemical transport analysis of gamma spectroscopic data to support estimation of molten salt reactor off-gas inventories

Shayan Shahbazi, Tingzhou Fei

us (code pays fourni par la source)

Transition of SRT Source Term Software to Modern Version Control System to Enable More Efficient Verification, Validation, and User Engagement

Tyler Starkus, Shayan Shahbazi, Dave Grabaskas, Saddam Alkhatib

The Simplified Radionuclide Transport (SRT) code assists in reactor design and licensing by providing a detailed analysis of radionuclide transport under specific transient scenarios. This analysis is essential for ensuring that reactors meet safety and regulatory standards before they are authorized to …

us (code pays fourni par la source)

A Computationally Tractable Model for Spatially Resolved Nuclide Concentrations in Flowing Fuel Molten Salt Reactors

Luke Seifert, Shayan Shahbazi, Scott Richards, Madicken Munk et autres

Progress on Advancement in Modeling and Testing of the Simplified Radionuclide Transport (SRT) Source Term Analysis Code

Tyler Starkus, Dave Grabaskas, Dong Hoon Kam, Shayan Shahbazi

Demonstration and Preliminary Validation of Griffin for MSR Depletion with Chemical Removal Parametric Studies

Tingzhou Fei, Shayan Shahbazi, Donny Hartanto, Eva Davidson et autres

us, de (code pays fourni par la source)

Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning

J. R. Barra, Shayan Shahbazi, Anthony Birri, Rajni Chahal et autres

Optimally designing molten salt applications requires knowledge of their thermophysical properties, but existing databases are incomplete, and experiments are challenging. Ideal mixing and Redlich-Kister models are computationally cheap but lack either accuracy or generality. To address this, a transfer learning approach using …