Application of Conputational Chemistry Methods to the Prediction of Chirality and Helical Twisting Power in Liquid Crystal Systems
Conference
·
· Liquid Crystals IX, edited by I.-C. Khoo (SPIE, Bellingham, WA, 2005)
OSTI ID:859944
- Laboratory for Laser Energetics, University of Rochester, Rochester, NY
Until recently, it has not been possible to determine with any real certainty a complete picture of chirality (absolute configuration, optical rotation direction, and helical twisting power) for new chiral compounds without first synthesizing, purifying, characterizing, and testing each and every new material. Recent advances in computational chemistry now allow prediction of certain key chiral molecular properties prior to synthesis, which now opens the possibility of pre-determining the chiroptical properties of new liquid crystal dopants and mixtures for advanced optical and photonics applications.
- Research Organization:
- Laboratory for Laser Energetics, University of Rochester, Rochester, NY
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- FC52-92SF19460
- OSTI ID:
- 859944
- Report Number(s):
- DOE/SF/19460-640; 1600; 2005-8
- Conference Information:
- Journal Name: Liquid Crystals IX, edited by I.-C. Khoo (SPIE, Bellingham, WA, 2005)
- Country of Publication:
- United States
- Language:
- English
Similar Records
Helical Photonic Metamaterials for Encrypted Chiral Holograms
Computational Chemistry Methods for Predicting the Chiroptical Properties of Liquid Crystal Systems. II. Application to Chiral Azobenzenes
Biomimetic Hierarchical Assembly of Helical Supraparticles from Chiral Nanoparticles
Journal Article
·
Mon Jul 21 20:00:00 EDT 2025
· Advanced Science
·
OSTI ID:2587421
Computational Chemistry Methods for Predicting the Chiroptical Properties of Liquid Crystal Systems. II. Application to Chiral Azobenzenes
Conference
·
Tue Dec 12 23:00:00 EST 2006
·
OSTI ID:896263
Biomimetic Hierarchical Assembly of Helical Supraparticles from Chiral Nanoparticles
Journal Article
·
Sun Feb 21 19:00:00 EST 2016
· ACS Nano
·
OSTI ID:1440921