Tootfinder

"Nuclear waste could be a source of fuel in future reactors"
#NuclearPower #Energy
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Nuclear waste could be a source of fuel in future reactors
From electric cars to artificial intelligence (AI) data centers, the technologies people use every day require a growing need for electricity. In theory, nuclear fusion—a process that fuses atoms together, releasing heat to turn generators—could provide vast energy supplies with minimal emissions. But nuclear fusion is an expensive prospect because one of its main fuels is a rare version of hydrogen called tritium.

AI-designed material captures 90% of toxic iodine from nuclear waste. Groundbreaking research in South Korea showcases the power of artificial intelligence in environmental cleanup. #climatechange #climatesolutions

AI-designed material captures 90% of toxic iodine from nuclear waste
AI‑driven discovery of a copper‑chromium‑iron‑aluminum compound could revolutionize nuclear iodine cleanup.

There is no dependable solution to nuclear waste.
Sellafield already had 90,000 tonnes of reprocessed uranium and 140 tonnes of civil plutonium.
Just 4kg of plutonium makes a nuclear weapon.

A comparative study of the high-pressure structural stability of zirconolite materials for nuclear waste immobilisation
Daniel Errandonea, Robin Turnbull, Josu Sanchez-Martin, Robert Oliva, Alfonso Munoz, Silvana Radescu, Andres Mujica, Lewis Blackburn, Neil C. Hyatt, Catalin Popescu, Jordi Ibanez-Insa
https://arxiv.org/abs/2508.03786

A comparative study of the high-pressure structural stability of zirconolite materials for nuclear waste immobilisation
We present a comparative study of the high-pressure behaviours of the nuclear waste immobilisation materials zirconolite-2M, -4M, -3O, and -3T. The materials are studied under high-pressure conditions using synchrotron powder X-ray diffraction. For zirconolite-2M we also performed density-functional theory calculations. A new triclinic crystal structure (space group P-1), instead of the previously assigned monoclinic structure (space group C2/c) is proposed for zirconolite-2M. We named the tric…

Reconstructing North Korea's Plutonium Production History with Bayesian Inference-Based Reprocessing Waste Analysis
Benjamin Jung, Johannes Bosse, Malte G\"ottsche
https://arxiv.org/abs/2506.03865

Reconstructing North Korea's Plutonium Production History with Bayesian Inference-Based Reprocessing Waste Analysis
Although North Korea's nuclear program has been the subject of extensive scrutiny, estimates of its fissile material stockpiles remain fraught with uncertainty. In potential future disarmament agreements, inspectors may need to use nuclear archaeology methods to verify or gain confidence in a North Korean fissile material declaration. This study explores the potential utility of a Bayesian inference-based analysis of the isotopic composition of reprocessing waste to reconstruct the operating hi…

Nuclear waste is stored in the balls

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
Pradeep Kumar Shukla, Tanujit Chakraborty, Mustafa Sari, Joel Sarout, Partha Pratim Mandal
https://arxiv.org/abs/2508.05248

Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
This study provides an in-depth analysis of time series forecasting methods to predict the time-dependent deformation trend (also known as creep) of salt rock under varying confining pressure conditions. Creep deformation assessment is essential for designing and operating underground storage facilities for nuclear waste, hydrogen energy, or radioactive materials. Salt rocks, known for their mechanical properties like low porosity, low permeability, high ductility, and exceptional creep and sel…