Recent advances in corrosion science applicable to disposal of high-level nuclear waste

GS Frankel, JD Vienna, J Lian, X Guo, S Gin… - Chemical …, 2021 - ACS Publications
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 …

Deep dive into machine learning density functional theory for materials science and chemistry

L Fiedler, K Shah, M Bussmann, A Cangi - Physical Review Materials, 2022 - APS
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 …

[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 …

Data mining and knowledge discovery in databases for urban solid waste management: A scientific literature review

JL Dias, MK Sott, CC Ferrão… - Waste Management …, 2021 - journals.sagepub.com
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 …

Hydroxyapatite materials-synthesis routes, mechanical behavior, theoretical insights, and artificial intelligence models: a review

DO Obada, SA Osseni, H Sina, AN Oyedeji… - Journal of the Australian …, 2023 - Springer
Over the years, hydroxyapatite (HAp) has been a well-researched biomaterial because of its
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 …

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 …

Computational materials design for ceramic Nuclear waste forms using machine learning, First-principles calculations, and kinetics rate theory

J Wang, DB Ghosh, Z Zhang - Materials, 2023 - mdpi.com
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 …

The prediction method for standard enthalpies of apatites using the molar volume, lattice energy, and linear correlations from existing experimental data

B Puzio, M Manecki - Contributions to Mineralogy and Petrology, 2022 - Springer
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 …

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 …