RETRACTED: Fabrication, physical and machine learning density prediction techniques of newly B2O3–ZnO–BaO–PtO2 glasses
This record is marked as retracted by the source. Review the publisher’s notice before using its findings.
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Glass properties and applications · Pigment Synthesis and Properties · Phase-change materials and chalcogenides
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (28)
Show source-provided references
1. Physical, thermal, structural and optical properties of Dy3+ doped lithium alumino-borate glasses for bright W-LED10.1016/j.jlumin.2016.11.027 ↗
2. Structural and luminescence properties of samarium doped lead alumino borate glasses10.1016/j.optmat.2017.08.015 ↗
3. Optical and spectroscopic properties of neodymium doped cadmium-sodium borate glasses10.1016/j.optlastec.2017.04.016 ↗
4. Optical properties of zinc borotellurite glass doped with trivalent dysprosium ion10.1016/j.physb.2017.01.012 ↗
5. Investigations of the physical, structural, optical and gamma-rays shielding features of B2O3-Bi2O3-ZnO-CaO glasses10.1016/j.ceramint.2019.07.056 ↗
6. Investigation of optical, physical, and gamma-ray shielding features of novel vanadyl boro-phosphate glasses10.1016/j.jnoncrysol.2020.119905 ↗
7. IR and UV spectral studies of zinc tellurite glasses10.3923/jas.2007.3051.3056 ↗
8. Optical properties and gamma-shielding features of bismuth borate glasses10.1007/s00339-018-2252-7 ↗
9. Gamma rays interactions with WO3-doped lead borate glasses10.1016/j.matchemphys.2012.03.032 ↗
10. Ultraviolet, visible, ESR, and infrared spectroscopic studies of CeO2-doped lithium phosphate glasses and effect of gamma irradiation10.1016/j.molstruc.2011.05.004 ↗
11. Characterization by combined optical and FT infrared spectra of 3d-transition metal ions doped-bismuth silicate glasses and effects of gamma irradiation10.1016/j.saa.2013.11.011 ↗
12. UV-visible and IR spectroscopic studies of gamma irradiated transition metal doped lead silicate glasses10.1007/s12633-009-9029-8 ↗
13. Structural and optical properties of barium titanium borate glasses doped with ytterbium10.1007/s10854-022-08665-0 ↗
14. A novel barium borate glasses for optical applications10.1007/s12633-016-9492-y ↗
15. Radiation shielding traits of bismuth–cadmium–barium-borate glasses: role of lead activation10.1016/j.jpcs.2022.110597 ↗
16. Experimental investigation of zinc sodium borate glass systems containing barium oxide for gamma radiation shielding applications10.1016/j.net.2021.04.002 ↗
17. Synthesis of novel AgO-doped vanadium–borophosphate semiconducting glasses and investigation of their optical, structural, and thermal properties10.1007/s10854-020-03432-5 ↗
18. The synthesis and characterization of zinc-tellurite semiconducting oxide glasses containing Ta2O510.1088/2053-1591/ab0b1e ↗
19. Cerium (IV) oxide reinforced Lithium-Borotellurite glasses: a characterization study through physical, optical, structural and radiation shielding properties10.1016/j.ceramint.2021.09.200 ↗
20. A systematical characterization of TeO2–V2O5 glass system using boron (III) oxide and neodymium (III) oxide substitution: resistance behaviors against ionizing radiation10.3390/app11073035 ↗
21. Artificial intelligence and machine learning in glass science and technology: 21 challenges for the 21st century10.1111/ijag.15881 ↗
22. Artificial intelligence for structural glass engineering applications — overview, case studies and future potentials10.1007/s40940-020-00132-8 ↗
23. Predicting glass properties by using physics- and chemistry-informed machine learning models10.1016/j.jnoncrysol.2022.121511 ↗
24. Machine learning on density and elastic property of oxide glasses driven by large dataset10.1016/j.jnoncrysol.2019.119768 ↗
25. Artificial intelligence density model for oxide glasses10.1016/j.ceramint.2020.11.144 ↗
26. Density of fluoride glasses through artificial intelligence techniques
27. Density of bismuth boro zinc glasses using machine learning techniques10.1007/s10904-021-02183-y ↗
28. Machine learning density prediction and optical properties of calcium boro-zinc glasses10.1016/j.optmat.2022.113145 ↗