Related Experiment Video
Updated: Aug 5, 2026

High-Contrast and Fast Photorheological Switching of a Twist-Bend Nematic Liquid Crystal
Published on: October 31, 2019
Design of Thermotropic Liquid Crystal Molecules With a Wide Temperature Range for the Liquid Crystal Phase Using
Naoki Masuyama1, Hiromasa Kaneko1
1Department of Applied Chemistry, School of Science and Technology, Meiji University, Kawasaki, Kanagawa, Japan.
This study introduces a machine learning approach to predict the wide temperature range (ΔTLC) of thermotropic liquid crystals. This accelerates the discovery of advanced materials for demanding applications.
Area of Science:
- Materials Science
- Physical Chemistry
- Computational Chemistry
Background:
- Thermotropic liquid crystals exhibit temperature-dependent mesophases, crucial for various applications.
- A wide operating temperature range (ΔTLC) is essential for liquid crystals in harsh environments.
- Current liquid crystal development is time-consuming and costly, involving molecular design and property evaluation.
Purpose of the Study:
- To design liquid crystal molecules with a stable mesophase over an extended temperature range (ΔTLC).
- To develop an efficient machine learning-based method for predicting ΔTLC and accelerating liquid crystal exploration.
Main Methods:
- Machine learning models were developed to identify the mesophase from molecular structure.
- Phase transition temperatures (melting and clearing points) were predicted for identified mesophases.
- The method predicts ΔTLC for new molecules, enabling efficient material exploration.
Main Results:
- Successfully identified mesophase formation based on molecular structure.
- Accurately predicted phase transition temperatures for liquid crystal mesophases.
- Enabled prediction of ΔTLC for novel liquid crystal molecules.
Conclusions:
- The proposed machine learning approach significantly enhances the efficiency of discovering liquid crystals with wide temperature ranges.
- This method reduces the time and cost associated with conventional liquid crystal development.
- Facilitates the exploration of liquid crystal molecules for advanced material applications.
Related Concept Videos
Fluid Mosaic Model
Phase Transitions: Melting and Freezing
Solid–Solid Solutions
Polymer Classification: Crystallinity
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
Nonideal Two-Component Liquid Solutions
Two Components: Liquid–Liquid Systems

