Uncertainty Quantification/Sensitivity Analysis

Workshop Date: March 26 (Thur.)

Workshop Time: 10:00AM – 1:00 PM

Capacity: 55

Description: Modeling and Simulation has made tremendous progress in many engineering disciplines. However, there are always discrepancies between ideal in silico designed systems and real-world manufactured ones. As a consequence, uncertainties must be quantified along with simulation to facilitate optimal design and decision making. Uncertainty Quantification (UQ) is the process to propagate the uncertainties from inputs to the model Quantities-of-Interest (QoIs), while Sensitivity Analysis (SA) is the process to quantify the impact/significance of inputs w.r.t. the QoIs. This workshop will cover brief reviews of UQ and SA methods, as well as recent developments in UQ/SA based on Scientific Machine Learning (SciML).

 

 

First Time Conference Attendee

Workshop Date: March 26 (Thur.)

Workshop Time: 9:00AM – 10:00 AM

Capacity: 55

 

 

 

 

Open MC

Workshop Date: March 26 (Thur.)

Workshop Time: 2:00 PM – 5:00 PM

Capacity: 30

Description: Come join this interactive workshop and learn about OpenMC, an open source Monte Carlo code. We will introduce some of the basics of the code and also give you a chance to try a few of the more advanced features unique to OpenMC. You will be able to run our examples in the cloud via a web browser so please bring a laptop.

 

Persuasive Speaking

Workshop Date: March 26 (Thur.)

Workshop Time: 2:00 PM – 5:00 PM

Capacity: 30

 

 

Molecular Modeling

Workshop Date: March 26 (Thur.)

Workshop Time: 10:00AM – 1:00 PM

Capacity: 55

Description: Nuclear materials research encompasses fuel, cladding, gap bond, coolant, reactor pressure vessels, divertor, blankets and all other material systems of interest in fission and fusion reactor systems. A number of primary technological challenges facing the nuclear industry are all materials-based, such as extending to longer lifetimes, qualifying new fuel types for advanced reactors, and developing next generation reactor designs. This workshop will introduce participants to the field of computational nuclear materials science, with an overview of atomistic, mesoscale and fuel performance simulation methodologies. Participants will get hands-on training in molecular dynamics simulations on sodium cooled fast reactor metallic nuclear fuel systems utilizing the LAMMPS software package. LAMMPS is a state-of-the-art open source massively parallel molecular dynamics simulation code, that can be executed on a laptop.

 

***No prior computational experience is required, only an interest in nuclear materials research and a laptop is needed.

 

 

 

Probabilistic Risk Assessment

Workshop Date: March 26 (Thur.)

Workshop Time: 2:00 PM – 5:00 PM

Capacity: 30

Description: How safe is safe enough? Probabilistic Risk Assessment (PRA), also called Quantitative Risk Assessment (QRA), has been very effective in supporting better decisions on how to manage safety by making the risks involved, the contributors, and the options for controlling the risk transparent; and, quantifying the uncertainties, the primary contributor to rare event risk. Moreover, a new generation of methodologies, often referred to as Dynamic PRA (DPRA) or simulation-based PRA, is starting to receive attention for nuclear reactor PRA. These methodologies explicitly account for the time element in the probabilistic system evolution, quantify the effects of phenomenological variability and uncertainties, and are driven by plant analysis tools (e.g., RELAP, MAAP5) to model possible dependencies among failure events that may arise from hardware/software/human interactions. They have shown great promise in reducing user-to-user analysis variability, modeling passive safety systems, aging effects, and human performance. This workshop will cover the principles of PRA, hands-on examples, as well as brief reviews of recent developments in simulation-based PRA methodologies.

 

Student-Mentor Relationship

Workshop Date: March 26 (Thur.)

Workshop Time: 2:00 PM – 5:00 PM

Capacity: 30

Title: Taking Care of You: Student-Mentor Relationships
Description: Student-mentor interactions have a tremendous influence on students’ successes and mental health. This workshop will explore a range of dynamics, including finding the right mentor for you, how to develop a strong, positive relationship, and resources for navigating unhealthy situations. Perspectives from both students, mentors, and professionals will be highlighted.