2026-10-06T05:22:10Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33920626 2026-09-22T11:10:29Z category_30187 category_29800 item_type_3 month_year_09_2026

The numerical data and Python code for Polar-to-Nematic study Takanori Kihara (19863042) Biological physics Statistical mechanics, physical combinatorics and mathematical aspects of condensed matter nematic order <p dir="ltr">This repository contains the numerical data and Python code supporting the study of polar-to-nematic ordering through angular mode selection.</p><p dir="ltr">Contents</p><p dir="ltr">Figshare/data</p><p dir="ltr">- linear_mode_spectrum.csv: a_n and lambda_n for the models.</p><p dir="ltr">- early_growth_second_harmonic.csv: complex second-harmonic trajectories.</p><p dir="ltr">- early_growth_rates.csv: fitted early-growth rates and bootstrap confidence intervals.</p><p dir="ltr">- long_time_order_parameters.csv: late-time polar and nematic order parameters.</p><p dir="ltr">- polar_perturbation_trajectories.csv: polar and nematic order-parameter trajectories for the polar-perturbation simulations.</p><p dir="ltr">The Figshare/code/ directory contains the Python scripts, including the core/ modules, used to generate and analyze the numerical results reported in the study.</p> 2026-09-22T11:10:29Z Dataset Dataset 10.6084/m9.figshare.33920626.v1 https://figshare.com/articles/dataset/The_numerical_data_and_Python_code_for_Polar-to-Nematic_study/33920626 CC BY 4.0