= Publications == Articles * Előd Pázmán, Gábor Tolnai, Dávid Légrády, Luigi Mercatali, Gianfranco Huaccho, Victor Hugo Sanchez-Espinoza, HZP and HFP rod ejection analysis in a SMART-like reactor model using the GUARDYAN-SUBCHANFLOW coupled code system, Annals of Nuclear Energy, Volume 211, 2025, 110988, ISSN 0306-4549 [https://doi.org/10.1016/j.anucene.2024.110988 DOI] * Tamas Zoltan Hajas, Gabor Tolnai, Mark Margoczi, David Legrady: Noise term modeling of dynamic Monte Carlo using stochastic differential equations, Annals of Nuclear Energy, Volume 195, 2024, 110061, ISSN 0306-4549 [https://doi.org/10.1016/j.anucene.2023.110061 DOI] * David Legrady, Marton Pukler, Balint Panka, Gabor Tolnai: Coupling the GUARDYAN code to subchanflow, EPJ Nuclear Sci. Technol., 9 (2023) 11 [https://doi.org/10.1051/epjn/2023002 DOI] * Legrady D, Tolnai G, Hajas T, Pazman E, Parko T, Pos I. Full Core Pin-Level VVER-440 Simulation of a Rod Drop Experiment with the GPU-Based Monte Carlo Code GUARDYAN. Energies. 2022; 15(8):2712. [https://doi.org/10.3390/en15082712 DOI] * D. Legrady, M. Halasz, J. Kophazi, B. Molnar, G. Tolnai, Population-based variance reduction for dynamic Monte Carlo. Annals of Nuclear Energy. 149 (2020), [https://doi.org/10.1016/j.anucene.2020.107752 DOI] * Z. I. Böröczki,G.Klujber,G.Tolnai, B. Molnár, D. Légrády, F. Gabrielli,A. Rineiski, M. Szieberth: Simulation of a research reactor reactivity transient with deterministic and GPU-assisted Monte Carlo reactor kinetics codes, European Physical Journal Plus, March 2020 135(3)[https://doi.org/10.1140/epjp/s13360-020-00280-4 DOI] * B. Molnar, G. Tolnai, D. Legrady: "A GPU based direct Monte Carlo simulation of time dependence in nuclear reactors", Annals of Nuclear Energy 132 (2019) 46–63 [http://dx.doi.org/10.1016/j.anucene.2019.03.024 DOI] * B. Molnar, G. Tolnai, D. Legrady: „Variance reduction and optimization strategies in a biased Woodcock particle tracking framework”, NUCLEAR SCIENCE AND ENGINEERING 190 : 1 pp. 56-72. , 17 p. (2018) [https://doi.org/10.1080%2F00295639.2017.1413876 DOI] * D. Legrady, B Molnar, M Klausz, T Major: Woodcock tracking with arbitrary sampling cross section using negative weights, ANNALS OF NUCLEAR ENERGY 102: pp. 116-123.[http://dx.doi.org/10.1016/j.anucene.2016.12.003 DOI] == Conference papers * Tamás Hajas, Gabor Tolnai, Elod Pazman, David Legrady. (2024). Optimization of the Forced Fission Coefficient via Stochastic Calculus. 1591-1599. 10.13182/PHYSOR24-43571. * Tamás Hajas, Gábor Tolnai, Dávid Légrády, Variance Analysis of the Coupling of Thermal-Hydraulics and Point Kinetics with Stochastic Noise Term Modeling Dynamic Monte Carlo Behavior for Later Use in GUARDYAN, International Conference on Physics of Reactors 2022, 2022 May 15–20, Pittsburgh * E. Pazman, G. Tolnai, D. Legrady, Pin-by-Pin Neutronics Simulation of a Hypothetical Control Rod Ejection in a Full VVER-440 Core Using the GUARDYAN Dynamic Monte Carlo Code, International Conference on Physics of Reactors 2022, 2022 May 15–20, Pittsburgh * B. Molnar, G. Tolnai, D. Legrady: „VECTORIZED MONTE CARLO FOR GUARDYAN - A GPU ACCELERATED REACTOR DYNAMICS CODE”, „PHYSOR 2018 Reactor Physics Paving the Way Towards More Efficient Systems, 2018 April 22-26, Cancun, Mexico ” * D. Legrady, A. Claret, B. Molnar, G. Tolnai: „VERIFICATION OF THE INTERACTION PHYSICS OF GUARDYAN A NOVEL GPU-BASED MONTE CARLO CODE FOR SHORT TIME SCALE REACTOR TRANSIENTS”, „PHYSOR 2018 Reactor Physics Paving the Way Towards More Efficient Systems, 2018 April 22-26, Cancun, Mexico ” * B. Molnar, D. Legrady, „Variance analysis of Woodcock type tracking" , M&C 2017 - International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering, April 16-20, 2017, Jeju, South Korea * D. Legrady, Z. Boroczki, I. Papp: „Adaptive Tally Bin Structure for Problem Analysis and Surface Source Sampling" , M&C 2017 - International Conference on Mathematics & Computational Methods Applied to Nuclear Science & Engineering, April 16-20, 2017, Jeju, South Korea [wiki:GuarDyan_Funding next: Funding and Project Participants ] [[Image(NRDI.jpg, 80%)]]