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Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations
Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations
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Predicting zeta potential of liposomes from their structure: A nano-QSPR model for DOPE, DC-Chol, DOTAP, and EPC formulations

Jarzynska, Kamila ; Gajewicz-Skretna, Agnieszka ; Ciura, Krzesimir ; Puzyn, Tomasz

Computational and structural biotechnology journal, 2024-12, Vol.25, p.3-8 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
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Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures

Kuznetsova, Vera ; Coogan, Áine ; Botov, Dmitry ; Gromova, Yulia ; Ushakova, Elena V ; Gun'ko, Yurii K

Advanced materials (Weinheim), 2024-02, p.e2308912-e2308912 [Periódico revisado por pares]

Germany

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3
Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic Nanoparticles
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: Wiley Subscription Services, Inc

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4
Layered nanomaterials for renewable energy generation and storage
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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5
Strategies of Artificial intelligence tools in the domain of nanomedicine
Strategies of Artificial intelligence tools in the domain of nanomedicine
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Strategies of Artificial intelligence tools in the domain of nanomedicine

Habeeb, Mohammad ; You, Huay Woon ; Umapathi, Mutheeswaran ; Ravikumar, Kishore Kanna ; Hariyadi ; Mishra, Shweta

Journal of drug delivery science and technology, 2024-01, Vol.91, p.105157, Article 105157 [Periódico revisado por pares]

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6
Stimulation by Electromagnetic Radiation of Copper(Ii) Sulfate and Oxide Interactions with Chelating Ligands
Stimulation by Electromagnetic Radiation of Copper(Ii) Sulfate and Oxide Interactions with Chelating Ligands
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Stimulation by Electromagnetic Radiation of Copper(Ii) Sulfate and Oxide Interactions with Chelating Ligands

Kostyuk, N. N. ; Dick, T. A.

Journal of applied spectroscopy, 2024, Vol.90 (6), p.1190-1196 [Periódico revisado por pares]

New York: Springer US

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7
Medium-term prediction of the fluence of relativistic electrons in geostationary orbit using solar wind streams forecast based on solar observations
Medium-term prediction of the fluence of relativistic electrons in geostationary orbit using solar wind streams forecast based on solar observations
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Medium-term prediction of the fluence of relativistic electrons in geostationary orbit using solar wind streams forecast based on solar observations

Kalegaev, V. ; Kaportseva, K. ; Myagkova, I. ; Shugay, Yu ; Vlasova, N. ; Barinova, W. ; Dolenko, S. ; Eremeev, V. ; Shiryaev, A.

Advances in space research, 2023-12, Vol.72 (12), p.5376-5390 [Periódico revisado por pares]

Elsevier B.V

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8
I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works
I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works
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I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works

Dolenko, S. A.

Pattern recognition and image analysis, 2023-12, Vol.33 (4), p.1564-1586 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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9
The Significance of Input Features for Domain Adaptation of Spacecraft Data
The Significance of Input Features for Domain Adaptation of Spacecraft Data
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The Significance of Input Features for Domain Adaptation of Spacecraft Data

Karimov, E. Z. ; Myagkova, I. N. ; Shirokiy, V. R. ; Barinov, O. G. ; Dolenko, S. A.

Cosmic research, 2023-12, Vol.61 (6), p.554-560 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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10
Employment of chiral columns with superficially porous particles in chiral separations of cobalt bis (dicarbollide) and nido‐7,8‐C2B9H12(1‐) derivatives
Employment of chiral columns with superficially porous particles in chiral separations of cobalt bis (dicarbollide) and nido‐7,8‐C2B9H12(1‐) derivatives
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Employment of chiral columns with superficially porous particles in chiral separations of cobalt bis (dicarbollide) and nido‐7,8‐C2B9H12(1‐) derivatives

Horáček, Ondřej ; Dhaubhadel, Umang ; Holub, Josef ; Grüner, Bohumír ; Armstrong, Daniel W ; Kučera, Radim

Chirality (New York, N.Y.), 2023-12, Vol.35 (12), p.937-951 [Periódico revisado por pares]

Chichester: Wiley Subscription Services, Inc

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