Strong solution to stochastic penalised nematic liquid crystals model driven by multiplicative Gaussian noise
Research output: Contribution to journal › Article › Research › peer-review
Standard
Strong solution to stochastic penalised nematic liquid crystals model driven by multiplicative Gaussian noise. / Hausenblas, Erika.
In: Indiana Univ. Math. J., 2021.
In: Indiana Univ. Math. J., 2021.
Research output: Contribution to journal › Article › Research › peer-review
Harvard
APA
Vancouver
Hausenblas E. Strong solution to stochastic penalised nematic liquid crystals model driven by multiplicative Gaussian noise. Indiana Univ. Math. J. 2021. doi: 10.1512/iumj.2021.70.8678
Author
Bibtex - Download
@article{54aa1b341b2c4f6684c3376fd577226e,
title = "Strong solution to stochastic penalised nematic liquid crystals model driven by multiplicative Gaussian noise",
author = "Erika Hausenblas",
year = "2021",
doi = "10.1512/iumj.2021.70.8678",
language = "Undefined/Unknown",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Strong solution to stochastic penalised nematic liquid crystals model driven by multiplicative Gaussian noise
AU - Hausenblas, Erika
PY - 2021
Y1 - 2021
U2 - 10.1512/iumj.2021.70.8678
DO - 10.1512/iumj.2021.70.8678
M3 - Article
JO - Indiana Univ. Math. J.
JF - Indiana Univ. Math. J.
SN - 0022-2518
ER -