2024 MeV Curriculum
The 2024 MeV school curriculum will be composed of lectures organized across eight focused modules, a team project, discussion assignments, tours of experimental facilities, and networking events.
MODULE 1: NUCLEAR FUNDAMENTALS
The foundational principles of nuclear energy systems and the historical development of nuclear energy will be discussed. It includes the physics and engineering behind nuclear reactions, energy conversion, and the basic components of nuclear power plants.
MODULE 2: REACTOR PHYSICS MODELING AND ANALYSIS METHODS
The development and application of mathematical models to describe the behavior of nuclear reactors will be presented. It includes the study of neutron transport, reactor kinetics, and other aspects essential for analyzing and optimizing reactor performance. Practical examples and studies will be presented to illustrate the real-world application of these modeling analysis methods.
MODULE 3: MULTIPHYSICS MODELING AND SIMULATION
Multiphysics modeling integrates multiple physical phenomena to provide a comprehensive understanding of the complex interactions within nuclear systems. Simulation techniques and state-of-art computational codes will be showcased to predict system behavior under various conditions.
MODULE 4: NUCLEAR DATA, MEASUREMENTS, AND EVALUATION
Accurate nuclear data is crucial for reactor design, safety assessments, and various applications in the nuclear industry. The theory, methods, and experiments used to acquire and evaluate nuclear data will be discussed.
MODULE 5: SENSITIVITY ANALYSIS AND UNCERTAINTY QUANTIFICATION
Understanding and quantifying uncertainties in nuclear models and data are essential for reliable predictions. Sensitivity analysis and data assimilation methods help assess the impact of uncertainties on simulation results and improve the overall reliability of nuclear models.
MODULE 6: DIGITAL TWIN AND AI/ML APPLICATIONS
The integration of digital twin technology and artificial intelligence and machine learning (AI/ML) in nuclear energy systems will be discussed. This involves creating digital replicas of physical reactors and using AI/ML for predictive maintenance, anomaly detection, and optimization of reactor operations.
MODULE 7: ADVANCED REACTOR CONCEPTS
Focusing on innovative reactor designs beyond traditional light-water reactors, advanced concepts for various reactor types including fast reactors, molten salt reactors, gas-cooled reactors, and other next-generation technologies that aim to enhance safety, efficiency, and sustainability in nuclear power will be explored. Various reactor deployment projects recently initiated in the U.S. will be introduced as well.
MODULE 8: ADVANCES AND CHALLENGES IN MeV
The latest advancements and ongoing challenges in nuclear modeling, experimental techniques, and validation processes will be explored. It encompasses emerging technologies and methodologies in the field, addressing the specific challenges associated with validating complex multiphysics models in the evolving landscape of nuclear research.
Teams, Tours & Networking
The program includes a team project over the duration of the school, culminating in a presentation from each team and an awards ceremony on the final day.
Group discussions will occur each day to encourage additional exchange and sharing of ideas.
Technical tours will be provided by Argonne National Laboratory personnel who will lead the discussions.
Various networking events will be held, providing students with more opportunities to interact with lecturers, staff scientists, and other students and to learn about the rich history of nuclear energy.
Participants will receive a student book introducing each student’s research, which enables the students to obtain feedback and input from prominent experts and lecturers, and also will facilitate further student–student interactions and networking.