KINGS 에서는 KNF 엔지니어를 위한 특별 교육 프로그램을 개설합니다. 7일간 집중적으로 진행되는 이 과정은 SMR 및 대형원전 노심/안전 해석 전문가 양성을 목표로 합니다. 노물리·핵설계, 열수력·안전해석, 핵연료 분야를 Python과 Fortran 실습 중심으로 깊이 있게 다룹니다.
미래 원자력 기술을 선도할 핵심 역량을 강화하고 싶다면 지금 바로 지원하세요.
The Reactor Physics Laboratory & Computational Analysis Laboratory (RPL) at KINGS (KEPCO International Nuclear Graduate School) is dedicated to cutting-edge research in nuclear reactor physics, computational methods, and advanced core design. Located in Ulsan, Korea — the heart of Korea's nuclear energy industry — RPL bridges rigorous academic research with real-world nuclear engineering applications.
Our work spans the full spectrum of reactor physics computation: from first-principles Monte Carlo neutron transport to industry-grade whole-core diffusion solvers, and from traditional PWR core design to innovative Small Modular Reactor (SMR) concepts. We develop, validate, and deploy in-house simulation tools used to support next-generation nuclear energy systems.
With a strong international team of graduate researchers and deep ties to KEPCO Nuclear Fuel, RPL is uniquely positioned at the intersection of academia and industry.

RPL brings together a diverse, international cohort of graduate researchers united by a shared commitment to advancing computational reactor physics. Our team combines Korean and international scholars pursuing doctoral and master's-level research under the mentorship of Prof. Yoon.
Principal Investigator
Associate Professor
Research Professor
김진선
Ph.D. Student
황세연
Ph.D. Student
Ph.D. Student
양경민
Ph.D. Student
Ph.D. Student
M.S. Student
Associate Professor & Head, Department of Nuclear Power Plant Engineering, KINGS
Prof. Joo-il Yoon is an Associate Professor and the Head of the Department of Nuclear Power Plant Engineering at KINGS. He earned his B.S., M.S., and Ph.D. degrees in Nuclear Engineering from Seoul National University — one of Asia's premier research institutions — completing his doctoral degree in 2021. His academic training is complemented by over a decade of applied industry experience at KEPCO Nuclear Fuel (KNF) from 2008 to 2023, where he contributed to the development of next-generation nuclear design codes and reactor core analysis tools.
Prof. Yoon's research program is defined by a commitment to high-fidelity computational methods for reactor physics, with particular emphasis on Monte Carlo neutron transport, deterministic transport solvers, and AI-enhanced simulation techniques. He leads the development of in-house codes including MONTEX (MONTEcarlo code for neutroniX), SPHINCS(SPH-based Pin-Homogenized Innovative Neutronics Core Simulator) and CROMA (Characteristics-based Reactor Operation and Multigroup Analysis).

Seoul National University, 2021
Seoul National University, 2009
Seoul National University, 2007
Associate Professor & Head, Nuclear Power Plant Eng. Dept., KINGS
Assistant Professor & Head, Nuclear Power Plant Eng. Dept., KINGS
Manager, Nuclear Fuel Design Department, KEPCO NF
Principal Nuclear Engineer, KEPCO NF
Nuclear Engineer, KEPCO NF

Name: Jae-seung Song
Position: Research Prof.
Email: smartjssong@naver.com
Research Topic:
Name: Kim Jin-sun (김진선)
Position: Senior Researcher, KEPCO Nuclear Fuel / Ph.D. Student
Email:
Research Topic:
Advanced core design and reactivity control for commercial PWRs and i-SMRs under boron-free and LEU+ operating conditions
Name: Hwang Se-yeon (황세연)
Position: Ph.D. Student
Research Topic: Multi-physics Core Analysis of PWR and SMR Systems using High-Fidelity and Reduced-Order Methods
Name: Dawid Szymczyna Pawel
Position: Ph.D. Student
Email: dawidos2780@gmail.com
GitHub:
Research Topic: Development of DeCART–MANTIS Coupling Framework for High-Fidelity Cross-Section Reconstruction and Whole-Core Neutronic Analysis
Name:
Muhammad Wazif Mohd Sallehhudin
Position: Ph.D. Student
Email: wazif1995@gmail.com
Research Topic:
CYNUS code verification for MSR core.
Name: Yang Kyung-min (양경민)
Position: Ph.D. Student
Email:
Research Topic:
Core Design Considering Safety under Load-Following Operation
EDUCATION
Name: John Caesar Katabarwa
Position: M.Sc. Student
Email: kjohnthecaesar@gmail.com
Research Topic: Sensitivity Study of 1D/2D Power Synthesis Method for PWR Flexible Operation
Name: Michal Ryszard Kobierski
Position: M. Sc. Student
Email: kobierskimichal02@gmail.com
Research Topic: Neutronic Calculations of the AP1000 Reactor Core with PRAGMA/SPHINCS Code System
Name: Michał Tomasz Kurowski
Position: M.S. Student
Research Topic: Development of a Direction-Specific Nodal Diffusion Solver for Cylindrical Geometry
Name: Łukasz Bielec
Position: Alumni
Email: lukasz.bielec01@gmail.com
Research Topic: Development of GPU-Based Monte Carlo Neutronics Calculation Code
RPL pursues five interconnected research thrusts spanning fundamental neutron physics, advanced deterministic transport, innovative reactor design, computational mathematics, and high-performance computing. Together, these form a comprehensive ecosystem for next-generation reactor simulation.
Development of in-house Monte Carlo code (MONTEX), GPU-accelerated CUDA-based neutron transport, and multigroup cross-section generation using Monte Carlo methods.
Montecarlo and Pin-by-pin diffusion two-step method development (MONTEX/SPHINCS), MOC-based 2D/1D whole-core transport (CROMA).
Innovative Small Modular Reactor core design concepts, boron-free reactivity control strategies, and APR1400 nuclear core design for next-generation power systems.
Method of Characteristics (MOC), Coarse Mesh Finite Difference (CMFD) acceleration techniques, and depletion methods including predictor-corrector schemes and CRAM.
GPU/CUDA acceleration for Monte Carlo codes, MPI/OpenMP parallel computing frameworks, and machine learning applications in reactor physics simulation and optimization.
The conventional two-step neutronics calculation procedure consists of cross-section generation followed by whole-core diffusion calculation and pin power reconstruction.
Lattice calculation with homogenization and group condensing to produce two-group constants from fuel assembly models.
Whole-core nodal diffusion calculation using homogenized two-group cross-sections on assembly-wise mesh.
Reconstruction of pin-by-pin power distribution from assembly-averaged flux solutions.
Multigroup Source Expansion Nodal Method: Better accuracy compared to typical Nodal Expansion Method; Numerical Stability compared to Analytic Nodal Method
Two-Level CMFD Acceleration Method: Accelerating Multigroup nodal calculation with CMFD formulation
Multigroup Pin Power Reconstruction Method: Based on 2D Source Expansion Nodal Method; Better pin power accuracy as incorporating the corner discontinuity factor (CDF)

HIGA is a novel strong burnable absorber developed for soluble boron-free SMR operation, combining Gd₂O₃-Al₂O₃ ceramic pellets with a HANA-6 cladding tube to achieve highly intensive neutron absorption with excellent structural integrity.

HIGA Rod Design — HANA-6™ Cladding Tube with Gd₂O₃-Al₂O₃ neutron absorber pellet
Implementing diffusion-based 2D/1D decoupling method with parallelization for pin-by-pin neutronics calculation
Developing CMFD acceleration scheme for spatial homogenization and energy group condensation
Determining pin-by-pin equivalence factor and appropriate coarse energy group (GET vs SPH Method)
Establishing two-step calculation procedure for pin-by-pin nuclear design
Developing pin-by-pin transient calculation by modifying node-wise transient calculation scheme
Evaluating pin-by-pin code system with benchmark problems

Problem Configuration:
Results table for Unrodded Case:
Results table for Rodded A Case:
Results table for Rodded B Case:
Key finding: Pin (7G) shows significantly better accuracy than RENUS nodal codes, with RMS errors below 1% for all cases.
Results table for CASE 32:
Results table for CASE 27:
Key finding: Pin code shows significantly lower errors than RENUS nodal codes, especially where control rods are inserted. Pin-wise solutions follow severe flux gradients well.
Workflow: Pin-wise XS Generation (MONTEX or PRAGMA) → Pin-wise XS Generation (Hybrid) → Whole Core Pin-wise 3D Calculation (SPHINCS)
Validation of the PRAGMA/SPHINCS code system against the APR1400 benchmark using MCCARD as reference.
Table 1 - Comparisons of the multiplication factors (K-EFF errors in pcm):
Table 2 - RMS errors of assembly power distributions (%):



Prof. Yoon's teaching portfolio spans both foundational and advanced topics in nuclear engineering, reflecting his dual expertise in theoretical reactor physics and applied computational methods. Courses are offered to graduate students in the Department of Nuclear Power Plant Engineering at KINGS.
Foundational graduate course covering neutron lifecycle, criticality, diffusion theory, and the physics of sustained fission chain reactions in thermal and fast reactor systems.
Practical APR1400 Nuclear Design (PAND) course offering hands-on training in the full-cycle design methodology of Korea's flagship advanced pressurized water reactor.
Advanced survey of numerical methods applied to reactor physics problems, including finite difference, finite element, and spectral methods for neutron transport equations.
Specialized course on stochastic and deterministic simulation for neutron transport, covering random number generation, variance reduction techniques, tallying, and parallel implementation strategies.
We welcome inquiries from prospective graduate students, academic collaborators, and industry partners. Whether you are interested in joining the lab, exploring research partnerships, or discussing collaborative projects in reactor physics or computational nuclear engineering, please don't hesitate to reach out.
Room 411, Main Building 658-91 Haemaji-ro, Seosaeng-myeon Ulju-gun, Ulsan 45014 Republic of Korea
📧 jiyoon@kings.ac.kr 📞 +82-52-712-7367
KINGS offers internationally competitive graduate programs in nuclear power plant engineering. Prospective students are encouraged to review the KINGS admissions portal and contact Prof. Yoon directly regarding research fit and available positions.
Advancing the frontiers of computational reactor physics, multi-physics and SMR/PWR and GEN-IV Reactor core design at KEPCO International Nuclear Graduate School, Ulsan, Korea.