Standard

Modeling the dynamics of polymer chains in water solution. Application to sensor design. / Starovoitov, V. N.; Starovoitova, B. N.

In: Journal of Physics: Conference Series, Vol. 894, No. 1, 012088, 22.10.2017.

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

Harvard

Starovoitov, VN & Starovoitova, BN 2017, 'Modeling the dynamics of polymer chains in water solution. Application to sensor design', Journal of Physics: Conference Series, vol. 894, no. 1, 012088. https://doi.org/10.1088/1742-6596/894/1/012088

APA

Starovoitov, V. N., & Starovoitova, B. N. (2017). Modeling the dynamics of polymer chains in water solution. Application to sensor design. Journal of Physics: Conference Series, 894(1), [012088]. https://doi.org/10.1088/1742-6596/894/1/012088

Vancouver

Starovoitov VN, Starovoitova BN. Modeling the dynamics of polymer chains in water solution. Application to sensor design. Journal of Physics: Conference Series. 2017 Oct 22;894(1):012088. doi: 10.1088/1742-6596/894/1/012088

Author

Starovoitov, V. N. ; Starovoitova, B. N. / Modeling the dynamics of polymer chains in water solution. Application to sensor design. In: Journal of Physics: Conference Series. 2017 ; Vol. 894, No. 1.

BibTeX

@article{b6e93b357ad347b88153a550f81dc65b,
title = "Modeling the dynamics of polymer chains in water solution. Application to sensor design",
abstract = "This paper is devoted to a mathematical model of a chaotic dynamics of a polymer chain in water. The model consists of a parabolic equation that is derived according to the self-consistent field approach. This model is employed for the numerical simulation of a biological sensor that detects the presence of a specific protein in the fluid. The sensor is absolutely simple and seems to be new. Besides that, the suggested equation is interesting from the mathematical point of view. It includes a non-local operator of integration not only over the past time interval as in the problems with memory but also over the future time interval. It is unusual for parabolic problems.",
keywords = "POLY(ETHYLENE OXIDE)",
author = "Starovoitov, {V. N.} and Starovoitova, {B. N.}",
year = "2017",
month = oct,
day = "22",
doi = "10.1088/1742-6596/894/1/012088",
language = "English",
volume = "894",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Modeling the dynamics of polymer chains in water solution. Application to sensor design

AU - Starovoitov, V. N.

AU - Starovoitova, B. N.

PY - 2017/10/22

Y1 - 2017/10/22

N2 - This paper is devoted to a mathematical model of a chaotic dynamics of a polymer chain in water. The model consists of a parabolic equation that is derived according to the self-consistent field approach. This model is employed for the numerical simulation of a biological sensor that detects the presence of a specific protein in the fluid. The sensor is absolutely simple and seems to be new. Besides that, the suggested equation is interesting from the mathematical point of view. It includes a non-local operator of integration not only over the past time interval as in the problems with memory but also over the future time interval. It is unusual for parabolic problems.

AB - This paper is devoted to a mathematical model of a chaotic dynamics of a polymer chain in water. The model consists of a parabolic equation that is derived according to the self-consistent field approach. This model is employed for the numerical simulation of a biological sensor that detects the presence of a specific protein in the fluid. The sensor is absolutely simple and seems to be new. Besides that, the suggested equation is interesting from the mathematical point of view. It includes a non-local operator of integration not only over the past time interval as in the problems with memory but also over the future time interval. It is unusual for parabolic problems.

KW - POLY(ETHYLENE OXIDE)

UR - http://www.scopus.com/inward/record.url?scp=85033219186&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/894/1/012088

DO - 10.1088/1742-6596/894/1/012088

M3 - Article

AN - SCOPUS:85033219186

VL - 894

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012088

ER -

ID: 9721019