Optical Control of Polarization Switching in a Single-Component Organic Ferroelectric Crystal

2021 ◽  
Vol 143 (34) ◽  
pp. 13816-13823 ◽  
Author(s):  
Yuan-Yuan Tang ◽  
Jun-Chao Liu ◽  
Yu-Ling Zeng ◽  
Hang Peng ◽  
Xue-Qin Huang ◽  
...  
Keyword(s):  
Polarization Switching ◽  
Single Component ◽  
Optical Control ◽  
Ferroelectric Crystal

scholarly journals Microbial Opsins: A Family of Single-Component Tools for Optical Control of Neural Activity

2011 ◽  
Vol 2011 (3) ◽  
pp. top102 ◽  
Author(s):  
Ofer Yizhar ◽  
Lief Fenno ◽  
Feng Zhang ◽  
Peter Hegemann ◽  
Karl Diesseroth
Keyword(s):  
Neural Activity ◽  
Single Component ◽  
Optical Control

Terahertz radiation and second-harmonic generation from a single-component polar organic ferroelectric crystal

2018 ◽  
Vol 6 (35) ◽  
pp. 9330-9335 ◽  
Author(s):  
Uppari Venkataramudu ◽  
Chakradhar Sahoo ◽  
Solaiappan Leelashree ◽  
Mottamchetty Venkatesh ◽  
Damarla Ganesh ◽  
...  
Keyword(s):  
Second Harmonic Generation ◽  
Harmonic Generation ◽  
Terahertz Radiation ◽  
Second Harmonic ◽  
Single Component ◽  
Ferroelectric Crystal ◽  
Harmonic Radiation ◽  
Second Harmonic Radiation

A single-component polar organic ferroelectric crystal produces THz and second-harmonic radiation.

Record-high thermal stability achieved in a novel single-component all-organic ferroelectric crystal exhibiting polymorphism

2019 ◽  
Vol 55 (65) ◽  
pp. 9610-9613 ◽  
Author(s):  
Sanjay Dutta ◽  
Vikas Vikas ◽  
Ashok Yadav ◽  
Ramamoorthy Boomishankar ◽  
Anu Bala ◽  
...  
Keyword(s):  
Thermal Stability ◽  
High Temperature ◽  
High Thermal Stability ◽  
Single Component ◽  
Ferroelectric Crystal ◽  
Polymorphic Modifications

A novel single-component organic ferroelectric crystal is reported to persist in its phase up to a record-high temperature (521.2 K) and undergoes polymorphic modifications afterwards.

scholarly journals Ultrafast Photoinduced Electric-Polarization Switching in a Hydrogen-Bonded Ferroelectric Crystal

2017 ◽  
Vol 118 (10) ◽  
Author(s):  
K. Iwano ◽  
Y. Shimoi ◽  
T. Miyamoto ◽  
D. Hata ◽  
M. Sotome ◽  
...  
Keyword(s):  
Polarization Switching ◽  
Electric Polarization ◽  
Ferroelectric Crystal ◽  
Hydrogen Bonded

Boiling of single component liquids: Basic processes

2017 ◽  
Author(s):  
John G. Collier ◽  
V.V. Wadekar
Keyword(s):  
Single Component

On-site optical control for solar mirrors

2014 ◽  
Author(s):  
D. Fontani ◽  
P. Sansoni ◽  
S. Coraggia ◽  
L. Mercatelli ◽  
D. Jafrancesco ◽  
...  
Keyword(s):  
Optical Control

PHOTACs Enable Optical Control of Protein Degradation

2019 ◽  
Author(s):  
Martin Reynders ◽  
Bryan Matsuura ◽  
Marleen Bérouti ◽  
Daniele Simoneschi ◽  
Antonio Marzio ◽  
...  
Keyword(s):  
Protein Degradation ◽  
E3 Ligase ◽  
Optical Control ◽  
Cellular Proteins ◽  
Bifunctional Molecules ◽  
Protein Levels ◽  
Lead Compounds ◽  
Subsequent Degradation ◽  
Temporal And Spatial ◽  
Precision Therapeutics

<p><i>PROTACs (proteolysis targeting chimeras) are bifunctional molecules that tag proteins for ubiquitylation by an E3 ligase complex and subsequent degradation by the proteasome. They have emerged as powerful tools to control the levels of specific cellular proteins and are on the verge of being clinically used. We now introduce photoswitchable PROTACs that can be activated with the temporal and spatial precision that light provides. These trifunctional molecules, which we named PHOTACs, consist of a ligand for an E3 ligase, a photoswitch, and a ligand for a protein of interest. We demonstrate this concept by using PHOTACs that target either BET family proteins (BRD2,3,4) or FKBP12. Our lead compounds display little or no activity in the dark but can be reversibly activated to varying degrees with different wavelengths of light. Our modular and generalizable approach provides a method for the optical control of protein levels with photopharmacology and could lead to new types of precision therapeutics that avoid undesired systemic toxicity.</i><b></b></p>

ERROR LOCALIZATION DIAGNOSTIC MODEL OPTIMIZATION IN DIGITAL STATE MACHINES NETWORKS

2019 ◽  
Author(s):  
Irina Bystrova ◽  
E. Danil'chuk ◽  
Boris Podkopaev
Keyword(s):  
Single Component ◽  
Diagnostic Model ◽  
State Machines ◽  
Model Optimization ◽  
Error Localization ◽  
Diagnostic Models

The problem of constructing a diagnostic model for a network S consisting of a number of digital automata is considered, provided that the diagnostic models of all network components are known. It is assumed that these models are given by systems of logical equations, and the errors to be detected are localized in any but a single component of the network.

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