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  1. Quantograms as a New Visualization Technique of Electronic Structure of Atomic Systems

    Meshkov, O. I., Kazakov, V. V., Kazakov, V. G., Potekhin, A. A., Temnikova, E. A. & Tikhonova, A. V., Mar 2021, In: Optoelectronics, Instrumentation and Data Processing. 57, 2, p. 177-184 8 p.

    Research output: Contribution to journal › Article › peer-review

  2. Quantization noise in low bit quantization and iterative adaptation to quantization noise in quantizable neural networks

    Chudakov, D., Goncharenko, A., Alyamkin, S. & Densidov, A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2134, 1, 012004.

    Research output: Contribution to journal › Conference article › peer-review

  3. Quantization noise as a determinant for color thresholds in machine vision

    Palchikova, I. G., Smirnov, E. S. & Palchikov, E., 1 Apr 2018, In: Journal of the Optical Society of America A: Optics and Image Science, and Vision. 35, 4, p. B214-B222 9 p.

    Research output: Contribution to journal › Article › peer-review

  4. Quantity of the inverse problem data for the system of conservation laws

    Klyuchinskiy, D. V., Novikov, N. S. & Shishlenin, M. A., 20 Dec 2021, In: Journal of Physics: Conference Series. 2092, 1, 012020.

    Research output: Contribution to journal › Conference article › peer-review

  5. Quantitative quantum mechanical approach to SABRE hyperpolarization at high magnetic fields

    Knecht, S. & Ivanov, K. L., 28 Mar 2019, In: Journal of Chemical Physics. 150, 12, 11 p., 124106.

    Research output: Contribution to journal › Article › peer-review

  6. Quantitative production of butenes from biomass-derived γ-valerolactone catalysed by hetero-atomic MFI zeolite

    Lin, L., Sheveleva, A. M., da Silva, I., Parlett, C. M. A., Tang, Z., Liu, Y., Fan, M., Han, X., Carter, J. H., Tuna, F., McInnes, E. J. L., Cheng, Y., Daemen, L. L., Rudić, S., Ramirez-Cuesta, A. J., Tang, C. C. & Yang, S., 1 Jan 2020, In: Nature Materials. 19, 1, p. 86-93 8 p.

    Research output: Contribution to journal › Article › peer-review

  7. Quantitative prediction of enhancer-promoter interactions

    Belokopytova, P. S., Nuriddinov, M. A., Mozheiko, E. A., Fishman, D. & Fishman, V., 1 Jan 2020, In: Genome Research. 30, 1, p. 72-84 13 p.

    Research output: Contribution to journal › Article › peer-review

  8. Quantitative Metabolomic Dataset of Avian Eye Lenses

    Zelentsova, E. A., Mariasina, S. S., Yanshole, V. V., Yanshole, L. V., Osik, N. A., Sharshov, K. A. & Tsentalovich, Y. P., Aug 2023, In: Data. 8, 8, 125.

    Research output: Contribution to journal › Article › peer-review

  9. Quantitative metabolomic analysis of the human cornea and aqueous humor

    Snytnikova, O. A., Yanshole, L. V., Iskakov, I. A., Yanshole, V. V., Chernykh, V. V., Stepakov, D. A., Novoselov, V. P. & Tsentalovich, Y. P., 1 Dec 2017, In: Metabolomics. 13, 12, 9 p., 152.

    Research output: Contribution to journal › Article › peer-review

  10. Quantitative metabolomic analysis of changes in the lens and aqueous humor under development of age-related nuclear cataract

    Yanshole, V. V., Yanshole, L. V., Snytnikova, O. A. & Tsentalovich, Y. P., 26 Feb 2019, In: Metabolomics. 15, 3, 11 p., 29.

    Research output: Contribution to journal › Article › peer-review

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