
Research
Our research addresses the design, modeling, and optimization of next-generation nuclear reactors, with emphasis on:
Small modular reactors (SMRs)
Small Modular Reactors represent a new generation of scalable, factory-built nuclear systems designed for flexible deployment. Their modular construction allows for reduced construction times, improved quality assurance, and the ability to match capacity with demand. SMRs can be integrated into diverse energy systems (micro-grids and smart grids), making them a promising solution for clean, reliable, and adaptable power generation.

Microreactors
Microreactors are ultra-compact nuclear systems engineered to deliver safe and continuous power in remote or specialized settings. With capacities ranging from a few kilowatts to several megawatts, they provide resilient energy solutions for critical operations such as remote communities or industrial sites, critical facilities (like hospitals), disaster recovery sites, and data centers. Their portability and rapid deployment potential make them a key enabler of energy security.

Molten salt reactors (MSRs)
Molten Salt Reactors are advanced nuclear systems that utilize liquid fuel to achieve high efficiency, inherent safety, and flexible fuel cycles. Their unique design enables efficient use of fissile material, reduces long-lived waste, and allows for the operation at high temperatures for industrial applications. MSRs are at the forefront of innovative reactor technologies that could reshape the future of clean energy.

Radiation transport calculations
Accurate modeling of radiation interaction with matter is essential for safe and efficient nuclear reactor design. Our research focuses on advanced methods and computational tools for radiation transport calculations, enabling precise simulations of neutron and photon interactions in complex reactor systems. These techniques provide the foundation for reactor optimization, safety analysis, and innovation in reactor physics.
Reactor physics and AI
Artificial intelligence and machine learning are transforming the way nuclear systems are studied and designed. Our research integrates data-driven techniques in reactor physics to accelerate simulations, improve predictive accuracy, and optimize reactor performance. These tools open new frontiers in exploring reactor behavior, enabling faster innovation and smarter nuclear energy solutions.

