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Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis
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Machine learning-assisted prediction of the toxicity of silver nanoparticles: a meta-analysis

Bilgi, Eyup ; Karakus, Ceyda Oksel

Journal of nanoparticle research : an interdisciplinary forum for nanoscale science and technology, 2023-08, Vol.25 (8), Article 157

Dordrecht: Springer Netherlands

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Structure and Properties of the Welded Joints of Single-Type Polyethylenes Formed Under the Action of Constant Magnetic Fields
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Structure and Properties of the Welded Joints of Single-Type Polyethylenes Formed Under the Action of Constant Magnetic Fields

Demchenko, V. L. ; Yurzhenko, M. V.

Materials Science, 2017-09, Vol.53 (2), p.186-193 [Periódico revisado por pares]

New York: Springer US

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3
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
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Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles

Jyakhwo, Susan ; Serov, Nikita ; Dmitrenko, Andrei ; Vinogradov, Vladimir V.

Small (Weinheim an der Bergstrasse, Germany), 2024-02, Vol.20 (6), p.e2305375-n/a [Periódico revisado por pares]

Germany

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4
New Fulvalenium Salts of Cobalt Bis(dicarbollide): Crystal Structures and Electrical Conductivities
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New Fulvalenium Salts of Cobalt Bis(dicarbollide): Crystal Structures and Electrical Conductivities

Kazheva, Olga N. ; Aleksandrov, Grigory G. ; Kravchenko, Andrey V. ; Starodub, Vladimir A. ; Lobanova, Irina A. ; Kosenko, Irina D. ; Sivaev, Igor B. ; Bregadze, Vladimir I. ; Buravov, Lev I. ; Dyachenko, Oleg A.

Crystals (Basel), 2012-01, Vol.2 (1), p.43-55 [Periódico revisado por pares]

Basel: MDPI AG

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5
Electrochemical Deposition of Nickel in Aprotic Solvents
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Electrochemical Deposition of Nickel in Aprotic Solvents

Kuntyi, O. I. ; Okhremchuk, E. V. ; Khoma, M. S.

Materials science (New York, N.Y.), 2003-11, Vol.39 (6), p.885-888 [Periódico revisado por pares]

New York: Springer Nature B.V

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6
Anodic Behavior of Some Metals and Alloys in Dimethylsulfoxide and Dimethylformamide Solutions
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Anodic Behavior of Some Metals and Alloys in Dimethylsulfoxide and Dimethylformamide Solutions

Kuntyi, O I ; Olynets', V T ; Okhremchuk, E V

Materials science (New York, N.Y.), 2001-09, Vol.37 (5), p.828 [Periódico revisado por pares]

New York: Springer Nature B.V

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7
Cobaltacarborane functionalized phthalocyanines: Synthesis, photophysical, electrochemical and spectroelectrochemical properties
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Cobaltacarborane functionalized phthalocyanines: Synthesis, photophysical, electrochemical and spectroelectrochemical properties

Nar, Ilgın ; Gül, Ahmet ; Sivaev, Igor B. ; Hamuryudan, Esin

Synthetic metals, 2015-12, Vol.210, p.376-385 [Periódico revisado por pares]

Elsevier B.V

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8
Layered nanomaterials for renewable energy generation and storage
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Layered nanomaterials for renewable energy generation and storage

Nikitina, Anna A ; Lavrentev, Filipp V ; Yurova, Veronika Yu ; Piarnits, Daniil Yu ; Volkova, Olga O ; Skorb, Ekaterina V ; Shchukin, Dmitry G

Materials advances, 2024-01, Vol.5 (2), p.394-48 [Periódico revisado por pares]

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9
Synthesis, Crystal Structure, and Electrochemistry of Mono- and Bis-Homoannular Ferrocene Derivatives
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Synthesis, Crystal Structure, and Electrochemistry of Mono- and Bis-Homoannular Ferrocene Derivatives

Pokharel, Uttam R. ; Daigle, Derek P. ; Naquin, Stone D. ; Engeron, Gwyneth S. ; Lo, Mary A. ; Fronczek, Frank R.

Crystals (Basel), 2024-02, Vol.14 (2), p.141 [Periódico revisado por pares]

MDPI AG

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10
Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning
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Quantitative Prediction of Inorganic Nanomaterial Cellular Toxicity via Machine Learning

Shirokii, Nikolai ; Din, Yevgeniya ; Petrov, Ilya ; Seregin, Yurii ; Sirotenko, Sofia ; Razlivina, Julia ; Serov, Nikita ; Vinogradov, Vladimir

Small (Weinheim an der Bergstrasse, Germany), 2023-05, Vol.19 (19), p.e2207106-n/a [Periódico revisado por pares]

Germany

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