NEWS

Jan. 24, 2026
Journal Publication: Development and verification of Hornet – A CUDA-optimized, Monte Carlo-agnostic, continuous-energy cross-section processing code

This work presents Hornet, a Monte Carlo–agnostic GPU-based nuclear data processing code for continuous-energy neutron transport. Integrated with GREAPMC and validated against IAEA benchmarks, Hornet delivers high-precision results with markedly improved tracking performance.

DOI: https://doi.org/10.12688/nuclscitechnolopenres.17676.2

Dec. 15, 2025
Certificate of Excellence in Reviewing

Dr. Rizwan has been awarded the Certificate of Excellence in Reviewing (2025) by the International Journal of Nuclear Engineering and Technology in recognition of outstanding peer-review contributions to the nuclear engineering community.

Nov. 24, 2025
Journal Publication: Development of New GPU-Optimized Reactor Physics Monte Carlo Code GREAPMC

Our latest work introduces GREAPMC, a GPU-accelerated reactor physics Monte Carlo code featuring novel strategies to mitigate thread divergence and geometry overhead. The proposed algorithms achieve significant speedups over state-of-the-art CPU Monte Carlo codes, with one GPU matching hundreds of CPU cores.

DOI: https://doi.org/10.1080/00295639.2025.2502714

Sep. 16, 2025
Journal Publication: GREAPMC: development status, capabilities, and future developments

Monte Carlo simulations are at the heart of modern reactor physics, but their computational cost has always been a bottleneck. Our recent article introduces GREAPMC (GPU-optimized REActor Physics Monte Carlo), a new GPU-accelerated Monte Carlo code designed to tackle this challenge.

DOI: https://doi.org/10.1051/epjn/2025046 

Feb. 24, 2025
Dr. Rizwan joins DNE, PIEAS as Assistant Professor

Dr. Rizwan completed his doctorate in the Republic of Korea in December 2024 and returned to Pakistan on 21 February 2025. He joined the Department of Nuclear Engineering (DNE) as an Assistant Professor on 24 February 2025.