Recent advances in corrosion science applicable to disposal of high-level nuclear waste
High-level radioactive waste is accumulating at temporary storage locations around the
world and will eventually be placed in deep geological repositories. The waste forms and …
world and will eventually be placed in deep geological repositories. The waste forms and …
Deep dive into machine learning density functional theory for materials science and chemistry
With the growth of computational resources, the scope of electronic structure simulations has
increased greatly. Artificial intelligence and robust data analysis hold the promise to …
increased greatly. Artificial intelligence and robust data analysis hold the promise to …
[HTML][HTML] Data-driven machine learning for disposal of high-level nuclear waste: A review
G Hu, W Pfingsten - Annals of Nuclear Energy, 2023 - Elsevier
The application of the data-driven machine learning (DDML) for the disposal of the high-
level nuclear waste (HLW) is of emerging interest in the recent years. This review aims to …
level nuclear waste (HLW) is of emerging interest in the recent years. This review aims to …
Data mining and knowledge discovery in databases for urban solid waste management: A scientific literature review
The processes related to solid waste management (SWM) are being revised as new
technologies emerge and are applied in the area to achieve greater environmental, social …
technologies emerge and are applied in the area to achieve greater environmental, social …
Hydroxyapatite materials-synthesis routes, mechanical behavior, theoretical insights, and artificial intelligence models: a review
Over the years, hydroxyapatite (HAp) has been a well-researched biomaterial because of its
bioactive and biocompatible properties with remarkable applications for bone tissue …
bioactive and biocompatible properties with remarkable applications for bone tissue …
Synthesis, crystal structure and biological activity of bismuth-sodium-oxoapatite
EN Bulanov, ON Golitsyna, YV Ostrovskaya… - Ceramics …, 2024 - Elsevier
In this work, a comprehensive physicochemical analysis of a promising bismuth-sodium-
oxoapatite obtained by solid-state method was conducted using X-ray and spectroscopic …
oxoapatite obtained by solid-state method was conducted using X-ray and spectroscopic …
Galvanic corrosion between coated al alloy plate and stainless steel fasteners, part 2: Application of finite element method and machine learning to study galvanic …
RS Marshall, KA Define, RS Rosner, A Goff… - …, 2023 - meridian.allenpress.com
Aluminum alloy panels joined with stainless steel fasteners have been known to occur in
aerospace structures, due to their respective optimized mechanical properties. When …
aerospace structures, due to their respective optimized mechanical properties. When …
Computational materials design for ceramic Nuclear waste forms using machine learning, First-principles calculations, and kinetics rate theory
Ceramic waste forms are designed to immobilize radionuclides for permanent disposal in
geological repositories. One of the principal criteria for the effective incorporation of waste …
geological repositories. One of the principal criteria for the effective incorporation of waste …
The prediction method for standard enthalpies of apatites using the molar volume, lattice energy, and linear correlations from existing experimental data
Experimental data of thermodynamic state functions and molar volume for phosphate,
arsenate, and vanadate apatites containing Ca, Sr, Ba, Pb, end Cd at the cationic positions …
arsenate, and vanadate apatites containing Ca, Sr, Ba, Pb, end Cd at the cationic positions …
Iodine-substituted hydroxyapatite nanoparticles and activation of derived ceramics for range verification in proton therapy
RM Hernández, A Muñoz-Noval, JA Briz… - Journal of Materials …, 2024 - pubs.rsc.org
Osteosarcoma is a radioresistant cancer, and proton therapy is a promising radiation
alternative for treating cancer with the advantage of a high dose concentration in the tumor …
alternative for treating cancer with the advantage of a high dose concentration in the tumor …