نتائج البحث

Quantitative evaluation of particle–binder interactions in ceramic slurries via differential centrifugal sedimentation.

• Authors : Nakajima, Hideaki¹ (AUTHOR) ; Ogura, Toshihiko² (AUTHOR); Kato, Yuichi³ (AUTHOR)

• Source: Scientific Reports. 8/9/2024, Vol. 14 Issue 1, p1-13. 13p.

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Study of microstructure and corrosion behavior of nano-Al2O3 coating layers on TiO2 substrate via polymeric method and microwave combustion.

• Authors : El-Hamid, H. K. Abd¹ (AUTHOR) ; Gaber, A. A.¹ (AUTHOR); Ngida, Rehab E. A.¹ (AUTHOR)

• Source: Scientific Reports. 8/8/2024, Vol. 14 Issue 1, p1-22. 22p.

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Optical property dataset of inorganic phosphor.

• Authors : Jang, Seunghun¹ (AUTHOR) ; Na, Gyoung S.¹ (AUTHOR); Choi, Yunhee¹ (AUTHOR)

• Source: Scientific Reports. 4/1/2024, Vol. 14 Issue 1, p1-10. 10p.

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Reconstruction of lateral coherence and 2D emittance in plasma betatron X-ray sources.

• Authors : Curcio, Alessandro¹ (AUTHOR) ; Cianchi, Alessandro^2,3,4 (AUTHOR); Costa, Gemma¹ (AUTHOR)

• Source: Scientific Reports. 1/19/2024, Vol. 14 Issue 1, p1-13. 13p.

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Implementation of a dual-phase grating interferometer for multi-scale characterization of building materials by tunable dark-field imaging.

• Authors : Organista, Caori^1,2,3,4,5 (AUTHOR) ; Tang, Ruizhi^1,2 (AUTHOR); Shi, Zhitian^5,6 (AUTHOR)

• Source: Scientific Reports. 1/3/2024, Vol. 13 Issue 1, p1-14. 14p.

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Neural network training method for materials science based on multi-source databases.

• Authors : Guo J; Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100083, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.

Subjects: Materials Science* ; Neural Networks, Computer*; Databases, Factual

• Source: Scientific reports [Sci Rep] 2022 Sep 12; Vol. 12 (1), pp. 15326. Date of Electronic Publication: 2022 Sep 12.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A universal similarity based approach for predictive uncertainty quantification in materials science.

• Authors : Korolev V; Department of Chemistry, Lomonosov Moscow State University, Moscow, 119991, Russia. .; Nevolin I

Subjects: Machine Learning* ; Materials Science*; Algorithms

• Source: Scientific reports [Sci Rep] 2022 Sep 02; Vol. 12 (1), pp. 14931. Date of Electronic Publication: 2022 Sep 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A novel perspective for M-polynomials to compute molecular descriptors of borophene nanosheet.

• Authors : Ismail, Rashad¹ (AUTHOR); Baby, Annmaria² (AUTHOR); Xavier, D. Antony² (AUTHOR)

• Source: Scientific Reports. 7/25/2023, Vol. 13 Issue 1, p1-15. 15p.

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Kinetic trapping of 2,4,6-tris(4-pyridyl)benzene and ZnI2 into M12L8 poly-[n]-catenanes using solution and solid-state processes.

• Authors : Martí-Rujas, Javier^1,2 (AUTHOR) ; Elli, Stefano¹ (AUTHOR); Famulari, Antonino^1,3 (AUTHOR)

• Source: Scientific Reports. 4/5/2023, Vol. 13 Issue 1, p1-12. 12p.

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Laser-driven low energy electron beams for single-shot ultra-fast probing of meso-scale materials and warm dense matter.

• Authors : Falk, Katerina^1,2,3 (AUTHOR) ; Šmíd, Michal¹ (AUTHOR); Boháček, Karel⁴ (AUTHOR)

• Source: Scientific Reports. 3/14/2023, Vol. 13 Issue 1, p1-9. 9p.

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