Ten new predicted covalent organic frameworks with strong optical response in the visible and near infrared

2015 ◽  
Vol 142 (24) ◽  
pp. 244706 ◽  
Author(s):  
Li-Ming Yang ◽  
Matthew Dornfeld ◽  
Pik-Mai Hui ◽  
Thomas Frauenheim ◽  
Eric Ganz
Keyword(s):  
Near Infrared ◽  
Optical Response ◽  
Covalent Organic Frameworks

Narrow bandgap covalent–organic frameworks with strong optical response in the visible and infrared

2015 ◽  
Vol 3 (10) ◽  
pp. 2244-2254 ◽  
Author(s):  
Li-Ming Yang ◽  
Eric Ganz ◽  
Song Wang ◽  
Xiao-Jun Li ◽  
Thomas Frauenheim
Keyword(s):  
Density Functional ◽  
Near Infrared ◽  
Density Functional Theory Calculations ◽  
Optical Response ◽  
Covalent Organic Frameworks ◽  
Functional Theory ◽  
Light Emitting ◽  
Light Emitting Devices ◽  
Narrow Bandgap ◽  
Potential Applications

We propose a new series of covalent–organic frameworks. These materials have narrow band gaps, leading to strong near infrared optical response. Density functional theory calculations are used to explore their properties. These novel infrared active materials may have potential applications in organic light-emitting devices, chemical and biological sensing, hybrid solar cells, or electroluminescence.

Near-infrared thermo-optical response of the localized reflectance of intact diabetic and nondiabetic human skin

2003 ◽  
Vol 8 (3) ◽  
pp. 534 ◽  
Author(s):  
Shu-jen Yeh ◽  
Omar S. Khalil ◽  
Charles F. Hanna ◽  
Stanislaw Kantor
Keyword(s):  
Human Skin ◽  
Near Infrared ◽  
Optical Response

scholarly journals Machine learning enables discovery of DNA-carbon nanotube sensors for serotonin

2021 ◽  
Author(s):  
Payam Kelich ◽  
Sanghwa Jeong ◽  
Nicole Navarro ◽  
Jaquesta Adams ◽  
Xiaoqi Sun ◽  
...  
Keyword(s):  
Machine Learning ◽  
Carbon Nanotube ◽  
Dna Sequences ◽  
Regression Models ◽  
Near Infrared ◽  
Optical Response ◽  
Support Vector ◽  
Single Walled Carbon Nanotube ◽  
Nir Fluorescence ◽  
Selective Evolution

AbstractDNA-wrapped single walled carbon nanotube (SWNT) conjugates have remarkable optical properties leading to their use in biosensing and imaging applications. A critical limitation in the development of DNA-SWNT sensors is the current inability to predict unique DNA sequences that confer a strong analyte-specific optical response to these sensors. Here, near-infrared (nIR) fluorescence response datasets for ~100 DNA-SWNT conjugates, narrowed down by a selective evolution protocol starting from a pool of ~1010 unique DNA-SWNT candidates, are used to train machine learning (ML) models to predict new unique DNA sequences with strong optical response to neurotransmitter serotonin. First, classifier models based on convolutional neural networks (CNN) are trained on sequence features to classify DNA ligands as either high response or low response to serotonin. Second, support vector machine (SVM) regression models are trained to predict relative optical response values for DNA sequences. Finally, we demonstrate with validation experiments that integrating the predictions of ensembles of the highest quality CNN classifiers and SVM regression models leads to the best predictions of both high and low response sequences. With our ML approaches, we discovered five new DNA-SWNT sensors with higher fluorescence intensity response to serotonin than obtained previously. Overall, the explored ML approaches introduce an important new tool to predict useful DNA sequences, which can be used for discovery of new DNA-based sensors and nanobiotechnologies.

Third-order nonlinear optical response of CuInS2quantum dots—Bright probes for near-infrared biodetection

2013 ◽  
Vol 102 (24) ◽  
pp. 243702 ◽  
Author(s):  
B. Cichy ◽  
D. Wawrzynczyk ◽  
A. Bednarkiewicz ◽  
M. Samoc ◽  
W. Strek
Keyword(s):  
Nonlinear Optical ◽  
Near Infrared ◽  
Optical Response ◽  
Nonlinear Optical Response ◽  
Third Order

scholarly journals Covalent organic frameworks in Lieb lattice for tunable photocatalytic water splitting under visible light

2021 ◽  
Author(s):  
Hongde Yu ◽  
Dong Wang
Keyword(s):  
Hydrogen Production ◽  
Water Splitting ◽  
Active Sites ◽  
Rational Design ◽  
Near Infrared ◽  
Band Alignment ◽  
Covalent Organic Frameworks ◽  
Photocatalytic Water Splitting ◽  
Metal Free ◽  
Lieb Lattice

Covalent organic frameworks (COFs) with highly designable skeleton and inherent pores have emerged as promising organic photocatalysts for hydrogen production. However, inefficient solar light harvesting, strong excitonic effect, and the lack of active sites still pose major challenges to the rational design of COFs for efficient photocatalytic water splitting and the structure-property relationship has not been established. In this work, we investigated the fundamental mechanism of photoelectrochemical conversion in fully conjugated donor (D)-acceptor (A) COFs in Lieb lattice and proposed a facile strategy to achieve broad visible and near-infrared absorption, prompt exciton dissociation, tunable band alignment for overall water splitting, and metal-free catalysis of hydrogen production. Interestingly, we found that the exciton binding energy was substantially reduced with the narrowing of optical band gap and the increase of static dielectric constant. Further, we unraveled that the hydrogen bond played a vital role in suppressing the overpotential for hydrogen evolution reaction to enable metal-free catalysis. These findings not only highlight a novel route to modulating electronic properties of COFs towards high photocatalytic activity for water splitting, but also offer tremendous opportunities to design metal-free catalysts for other chemical transformations.

scholarly journals Ultrafast Broadband Nonlinear Optical Response in Co-Doped Sb2Se3 Nanofilms at Near-Infrared

2021 ◽  
Vol 8 ◽  
Author(s):  
Di Sun ◽  
Yu Fang ◽  
Xiaoyan Yan ◽  
Wen Shan ◽  
Wenjun Sun ◽  
...  
Keyword(s):  
Nonlinear Optical ◽  
Near Infrared ◽  
Optical Response ◽  
Free Carrier ◽  
Nonlinear Optical Response ◽  
Photon Absorption ◽  
Free Carrier Absorption ◽  
Ultrafast Carrier ◽  
Carrier Absorption ◽  
Co Doped

Transition metal-doped Sb2Se3 has become a heated topic caused by the strong nonlinear optical response and the ultrafast response time at high laser excitation. In this paper, the Co-doped Sb2Se3 with different doping amount (0.5, 1.0, and 1.5 W) nanofilms were prepared by magnetron sputtering technology, and the nonlinear behavior of Co-doped Sb2Se3 nanofilms at near infrared were systematically studied. The results of the femtosecond Z-Scan experiment indicate that the Co-doped Sb2Se3 nanofilms exhibit broadband nonlinear response properties owing to the free carrier absorption, the Kerr refraction, the two-photon absorption, and the free carrier refraction. The nonlinear absorption coefficients of Co-doped Sb2Se3 nanofilms are from 3.0 × 10−9 to 2.03 × 10−8 m/ W under excitation at 800, 980, and 1,030 nm, and the nonlinear refractive index of the Co-doped Sb2Se3 nanofilms is from 4.0 × 10−16 to -3.89 × 10−15 m2/ W at 800, 980, and 1,030 nm. More importantly, Co-doped Sb2Se3 (1.5 W) nanofilm exhibits ultrafast carrier absorption (<1 ps) and a stronger transient absorption intensity of ΔOD > 6.3. The Co-doping content can controllably tune the crystalline degree, the ultrafast carrier absorption, the intensity of the reverse saturation absorption, the broadband nonlinear optical response, and the carrier relaxation time of Co-doped Sb2Se3 nanofilms. These results are sufficient to support their applications in broadband nonlinear photonic devices.

Steering the optical response with asymmetric bowtie 2-color controllers in the visible and near infrared range

2011 ◽  
Vol 284 (13) ◽  
pp. 3474-3478 ◽  
Author(s):  
Ying-Ying Yang ◽  
Yong-Liang Zhang ◽  
Feng Jin ◽  
Xian-Zi Dong ◽  
Xuan-Ming Duan ◽  
...  
Keyword(s):  
Near Infrared ◽  
Optical Response ◽  
Infrared Range ◽  
Near Infrared Range

A Polyaniline with Near-Infrared Optical Response to Saccharides

1999 ◽  
Vol 11 (10) ◽  
pp. 865-868 ◽  
Author(s):  
Erika Pringsheim ◽  
Ewald Terpetschnig ◽  
Sergey A. Piletsky ◽  
Otto S. Wolfbeis
Keyword(s):  
Near Infrared ◽  
Optical Response
Sign in / Sign up

Export Citation Format

Share Document