Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Enhancement of effective polar anchoring strength and accelerated electro-optic switching in a two-dimensional hexagonal boron nitride/polyimide hybrid liquid crystal device

Abstract

The monolayer hexagonal boron nitride (h-BN) nanosheet is transferred onto an indium tin oxide (ITO)-coated glass substrate. This h-BN slide is placed together with a conventional planar-aligning polyimide (PI) slide to fabricate a liquid crystal (LC) cell, in which the LC achieves uniform planar alignment. The effective polar anchoring strength coefficient of this h-BN-based hybrid LC device is found to increase significantly compared to that of a standard PI/PI LC device. The presence of the monolayer h-BN nanosheet as an alignment agent increases the planar anchoring energy through the epitaxial interaction between the LC and the honeycomb structure of the two-dimensional h-BN lattice in this hybrid device. The amplified polar anchoring energy is found to accelerate the electro-optic response time of the LC in this h-BN-based hybrid device.

Full Article  |  PDF Article
More Like This
Characterizations of a graphene-polyimide hybrid electro-optical liquid crystal device

Rajratan Basu and Lukas J. Atwood
OSA Continuum 2(1) 83-91 (2019)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (3)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.