Results 131 to 140 of about 9,473 (234)

Transmutation of High Level Radioactive Wastes

open access: yesJournal of the Atomic Energy Society of Japan / Atomic Energy Society of Japan, 1974
openaire   +2 more sources

Overall Prediction of Breakthrough Curves in Fracture Networks Using Graph‐Based Simulation and Machine Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Discrete fracture network (DFN) models are widely used to simulate fluid and solute transport through fracture networks that serve as their preferential pathways. In DFN models, fractures are generated stochastically based on fracture properties.
S. Okamoto, K. Nakata, K. Mori, T. Saito
wiley   +1 more source

Advanced Membrane Technologies and Hybrid Treatment Systems for Sustainable Removal of Naturally Occurring Radioactive Materials from Industrial Wastewater. [PDF]

open access: yesMembranes (Basel)
Al Saadi AS   +9 more
europepmc   +1 more source

Implicit Neural Representation to Improve the Resolution of 3D Electrical Resistivity

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Electrical resistivity tomography (ERT) is a subsurface imaging geophysical technique. Traditional ERT inversion methods, such as smoothness‐constrained least‐squares approaches, often suffer from discretization artifacts when reconstructing electrical resistivity from resistance measurements.
Yusen Yuan   +8 more
wiley   +1 more source

A Kolmogorov–Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract The computational cost of geochemical solvers is a challenging matter. For reactive transport simulations, where chemical calculations are performed up to billions of times, it is crucial to reduce the total computational time. Existing publications have explored various machine learning approaches to determine the most effective data‐driven ...
Leonardo Boledi   +2 more
wiley   +1 more source

Coupled intra‐ and inter‐tunnel short‐range order in hollandites: a case study of mannardite Ba[(Ti4+)6(V3+)2]O16

open access: yesActa Crystallographica Section B, Volume 82, Issue 4, Page 439-446, August 2026.
Single‐crystal X‐ray diffuse scattering combined with Monte Carlo simulations and 3D‐ΔPDF analysis reveals complex short‐range order in mannardite, involving coupled Ba–Ba interactions within and between tunnels and framework relaxation.Mannardite, Ba[(Ti4+)6(V3+)2]O16, a mineral of the hollandite supergroup, is characterized by a tunnel structure ...
Ella Mara Schmidt   +5 more
wiley   +1 more source

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