Data from: Chiroptical Strain Sensors from Electrospun Cadmium Sulfide Quantum-Dot Fibers
Author
Jayamaha, Hansadi Chandi
Ugras, Thomas
Page, Kirt
Robinson, Richard
Hanrath, Tobias
Shepherd, Larissa
Abstract
These files contain data supporting the results found in figures reported in Jayamaha et. al., "Chiroptical Strain Sensors from Electrospun Cadmium Sulfide Quantum-Dot Fibers". In this work, we report, highly sensitive and reversible strain sensors from chiroptically active fibers embedded in elastomeric films. The chiroptical response on stretching is indicated quantitatively as reversible changes in magnitude, spectral position (wavelength), and sign in circular dichroism (CD) and linear dichroism (LD) signals and qualitatively as a prominent change in the birefringence features under cross-polarizers.
Description
Please cite as: Chandi Hansadi Jayamaha Mudalige, Thomas Ugras, Kirt Page, Richard Robinson, Tobias Hanrath, Larissa Shepherd. (2025) Data from: Chiroptical Strain Sensors from Electrospun Cadmium Sulfide Quantum-Dot Fibers [dataset] Cornell University Library eCommons Repository. https://doi.org/10.7298/d8f3-q379
Sponsorship
Cornell Center for Materials Research (CCMR), supported by the NSF MRSEC program (DMR-1719875).
Functional Materials Beamline (FMB) at the Cornell High Energy Synchrotron Source (CHESS), supported by the Air Force Research Laboratory (AFRL) under agreement FA8650-22-2-5200.
Additional support was provided by NSF grant CHE-2003586
Functional Materials Beamline (FMB) at the Cornell High Energy Synchrotron Source (CHESS), supported by the Air Force Research Laboratory (AFRL) under agreement FA8650-22-2-5200.
Additional support was provided by NSF grant CHE-2003586
Date Issued
2025
Keywords
Related Publication(s)
Jayamaha, H., Ugras, T. J., Page, K. A., Hanrath, T., Robinson, R. D., & Shepherd, L. M. (2024). Chiroptical Strain Sensors from Electrospun Cadmium Sulfide Quantum-Dot Fibers. ACS Applied Materials & Interfaces, 16(14), 17757–17765. https://doi.org/10.1021/acsami.3c17623
Link(s) to Related Publication(s)
Rights
Attribution 4.0 International
Type
dataset