Neural network-based tensor models for liquid crystals with molecular-level information

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

Original language	English
Journal	Physical Review E: covering statistical, nonlinear, biological, and soft matter physics
DOIs	https://doi.org/10.1103/7v32-lr9w
Publication status	Accepted/In press - 3 Dec 2025

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@article{eb57bf929aba4ed9a410de95d8f1de1f,

title = "Neural network-based tensor models for liquid crystals with molecular-level information",

author = "Baoming Shi and Apala Majumdar and Lei Zhang",

year = "2025",

month = dec,

day = "3",

doi = "10.1103/7v32-lr9w",

language = "English",

journal = "Physical Review E: covering statistical, nonlinear, biological, and soft matter physics",

issn = "1539-3755",

publisher = "American Physical Society",

}

TY - JOUR

T1 - Neural network-based tensor models for liquid crystals with molecular-level information

AU - Shi, Baoming

AU - Majumdar, Apala

A2 - Zhang, Lei

PY - 2025/12/3

Y1 - 2025/12/3

U2 - 10.1103/7v32-lr9w

DO - 10.1103/7v32-lr9w

M3 - Article

SN - 1539-3755

JO - Physical Review E: covering statistical, nonlinear, biological, and soft matter physics

JF - Physical Review E: covering statistical, nonlinear, biological, and soft matter physics

ER -