P‐138: Fringe‐Field Effect of Ferroelectric Liquid‐Crystal Study Using Electrode Pattern for High Pixel Density Displays

Sun, Zhibo; Yuan, Zhengnan; Shi, Runxiao; Kwok, Hoi‐Sing; Srivastava, Abhishek Kumar

doi:10.1002/sdtp.14279

Symp Digest of Tech Papers

2020

DOI: 10.1002/sdtp.14279

|View full text |Cite

P‐138: Fringe‐Field Effect of Ferroelectric Liquid‐Crystal Study Using Electrode Pattern for High Pixel Density Displays

Zhibo Sun

Zhengnan Yuan

Runxiao Shi

et al.

Abstract: An ITO pattern with variable electrode gap is used to study the fringe-field-effect for the ferroelectric liquid crystals. The pixel expansion and disclination line due to the fringe-field-effect for FLC panel are found to be least significant in comparison to the nematic LCs. The electro-optical performance shows good contrast, fast response ~ 100 s and little fringe field effect.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Complex phase modulation of liquid crystal devices with deep learning

Chen,

Ding,

Jiang

et al. 2024

Opt. Express

View full text Add to dashboard Cite

A deep learning-based phase modulation method for liquid crystal (LC) devices was demonstrated. For LC devices with a single-electrode structure, achieving complex phase distributions is highly challenging. Meanwhile, multi-electrode LC devices, as pixel resolution increases and electrode size decreases, encounter issues of cumbersome modulation steps and reduced modulation accuracy during the phase modulation process. This method uses the concept of field to modulate the phase of the LC device, providing an effective phase modulation scheme. By establishing a deep learning model, it maps the phase retardation distribution of LC devices onto the electric field distribution. This method effectively mitigates the phase modulation issues arising from the fringe field effect, enabling an accurate and precise phase modulation distribution.

show abstract

Complex phase modulation of liquid crystal devices with deep learning

Chen,

Ding,

Jiang

et al. 2024

Opt. Express

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

P‐138: Fringe‐Field Effect of Ferroelectric Liquid‐Crystal Study Using Electrode Pattern for High Pixel Density Displays

Cited by 1 publication

References 12 publications

Complex phase modulation of liquid crystal devices with deep learning

Complex phase modulation of liquid crystal devices with deep learning

Contact Info

Product

Resources

About