8 research outputs found
SI2018 – Supplemental material for Theoretical investigations on charge transport properties of tetrabenzo[<i>a,d,j,m</i>]coronene derivatives using different density functional theory functionals (B3LYP, M06-2X, and wB97XD)
Supplemental material, SI2018 for Theoretical investigations on charge transport properties of tetrabenzo[a,d,j,m]coronene derivatives using different density functional theory functionals (B3LYP, M06-2X, and wB97XD) by Ziran Chen, Yuan Li, Zhanrong He, Youhui Xu and Wenhao Yu in Journal of Chemical Research</p
THEORETICAL INVESTIGATION OF THE EFFECT OF CONJUATION OF THIOPHENE RINGS ON THE CHARGE TRANSPORT OF THIENOCORONENE DERIVATIVES
Based on density functional theory, quantum chemical calculations of the charge-transport rates were performed for five disc-shaped coronene derivatives with varying numbers of fused thiophene rings, using different basis sets 6-31+G(d) and 6-311++G(d,p), hybrid functionals (B3LYP, M06-2X, CAM-B3LYP, WB97XD, M08-HX), and a dispersion-corrected hybrid functional (M06-2X+D3). Our results indicate that increasing the basis set and adding diffusion and polarisation functions had little effect on the molecular reorganisation energy, charge-transport matrix element t, and charge carrier mobility μ. The charge carrier mobility calculated using B3LYP were relatively large, whereas the results calculated using CAM-B3LYP and WB97XD were similar. Among the five coronene derivatives, molecule b with one thiophene ring could be candidates for a n-type organic semiconductor, and molecule c with two thiophene rings can be designed as a p-type semiconductor.</div
Defect-Engineered Bi<sub>24</sub>O<sub>31</sub>Cl<sub>10</sub> Nanosheets for Photocatalytic CO<sub>2</sub> Reduction to CO
The
photocatalytic CO2 conversion efficiency of semiconductor
materials still suffers from the faint CO2 surface adsorption
capacity and sluggish reaction kinetics. Among the modification strategies,
defect engineering is considered as a promising approach for ameliorating
the catalytic performance of the bulk materials. Herein, an ionic
liquid 1-dodecyl-3-methylimidazolium chloride-assisted alkali solvothermal
method was employed for the synthesis of ultrathin Bi24O31Cl10 nanosheets with abundant surface oxygen
vacancies (Bi24O31Cl10-OV). The existence
of the surface oxygen vacancy provided sufficient catalytic sites
and greatly strengthened the CO2 adsorption and activation
capacity. Furthermore, a newly created energy level in the forbidden
band of the Bi24O31Cl10-OV sample
facilitated the photogenerated charge separation and transfer, boosting
the reaction rate. Under the conditions of pure water and high-purity
CO2, the total CO yield of the Bi24O31Cl10-OV sample was achieved up to 330 μmol/g after
irradiation with a 300 W Xe lamp for 10 h, which was 3 and 7 times
higher than the bulk counterpart and partial oxygen-repaired Bi24O31Cl10-OV sample, respectively. Furthermore,
isotope labeling experiments also verified that the actual carbon
source in the product CO was from CO2 molecules. These
results reveal that surface oxygen vacancy engineering is an effective
approach for developing high-performance bismuth-based solar fuel
generation systems
Data_Sheet_1_Multi-modal data combination strategy based on chest HRCT images and PFT parameters for intelligent dyspnea identification in COPD.ZIP
IntroductionBecause of persistent airflow limitation in chronic obstructive pulmonary disease (COPD), patients with COPD often have complications of dyspnea. However, as a leading symptom of COPD, dyspnea in COPD deserves special consideration regarding treatment in this fragile population for pre-clinical health management in COPD. Methods: Based on the above, this paper proposes a multi-modal data combination strategy by combining the local and global features for dyspnea identification in COPD based on the multi-layer perceptron (MLP) classifier.MethodsFirst, lung region images are automatically segmented from chest HRCT images for extracting the original 1,316 lung radiomics (OLR, 1,316) and 13,824 3D CNN features (O3C, 13,824). Second, the local features, including five selected pulmonary function test (PFT) parameters (SLF, 5), 28 selected lung radiomics (SLR, 28), and 22 selected 3D CNN features (S3C, 22), are respectively selected from the original 11 PFT parameters (OLF, 11), 1,316 OLR, and 13,824 O3C by the least absolute shrinkage and selection operator (Lasso) algorithm. Meantime, the global features, including two fused PFT parameters (FLF, 2), six fused lung radiomics (FLR, 6), and 34 fused 3D CNN features (F3C, 34), are respectively fused by 11 OLF, 1,316 OLR, and 13,824 O3C using the principal component analysis (PCA) algorithm. Finally, we combine all the local and global features (SLF + FLF + SLR + FLR + S3C + F3C, 5+ 2 + 28 + 6 + 22 + 34) for dyspnea identification in COPD based on the MLP classifier.ResultsOur proposed method comprehensively improves classification performance. The MLP classifier with all the local and global features achieves the best classification performance at 87.7% of accuracy, 87.7% of precision, 87.7% of recall, 87.7% of F1-scorel, and 89.3% of AUC, respectively.DiscussionCompared with single-modal data, the proposed strategy effectively improves the classification performance for dyspnea identification in COPD, providing an objective and effective tool for COPD management.</p
Pathway toward Large Two-Dimensional Hexagonally Patterned Colloidal Nanosheets in Solution
We report the solution
self-assembly of an ABC block terpolymer
consisting of a polystyrene-<i>block</i>-poly(ethylene oxide)
(PS-<i>b</i>-PEO) diblock copolymer tail tethered to a fluorinated
polyhedral oligomeric silsesquioxane (FPOSS) cage in 1,4-dioxane/water.
With increasing water content, abundant unconventional morphologies,
including circular cylinders, two-dimensional hexagonally patterned
colloidal nanosheets, and laterally patterned vesicles, are sequentially
observed. The formation of toroids is dominated by two competing free
energies: the end-cap energy of cylinders and the bending energy to
form the circular structures. Incorporating the superhydrophobic FPOSS
cages enhances the end-cap energy and promotes toroid formation. Lateral
aggregation and fusion of the cylinders results in primitive nanosheets
that are stabilized by the thicker rims to partially release the rim-cap
energy. Rearrangement of the parallel-aligned FPOSS cylindrical cores
generates hexagonally patterned nanosheets. Further increasing the
water content induces the formation of vesicles with nanopatterned
walls
Synthesis of Shape Amphiphiles Based on POSS Tethered with Two Symmetric/Asymmetric Polymer Tails via Sequential “Grafting-from” and Thiol–Ene “Click” Chemistry
A series of shape amphiphiles based on functionalized
polyhedral
oligomeric silsesquioxane (POSS) head tethered with two polymeric
tails of symmetric or asymmetric compositions was designed and synthesized
using sequential “grafting-from” and “click”
surface functionalization. The monofunctionalization of octavinylPOSS
was performed using thiol–ene chemistry to afford a dihydroxyl-functionalized
POSS that was further derived into precisely defined homo- and heterobifunctional
macroinitiators. Polymer tails, such as polycaprolactone and polystyrene,
could then be grown from these POSS-based macroinitiators with controlled
molecular weight via ring-opening polymerization and atom transfer
radical polymerization (ATRP). The vinyl groups on POSS were found
to be compatible with ATRP conditions. These macromolecular precursors
were further modified by thiol–ene chemistry to install surface
functionalities onto the POSS cage. The polymer chain composition
and POSS surface chemistry can thus be tuned separately in a modular
and efficient way
Chain Overcrowding Induced Phase Separation and Hierarchical Structure Formation in Fluorinated Polyhedral Oligomeric Silsesquioxane (FPOSS)-Based Giant Surfactants
The
self-assembly behaviors of fluorinated polyhedral oligomeric silsesquioxane
(FPOSS)-based giant surfactants, consisting of an FPOSS cage and a
polystyrene-<i>block</i>-poly(ethylene oxide) (PS-<i>b</i>-PEO) diblock copolymer tail, are studied in the bulk.
The tethering point of the FPOSS cage on the PS-<i>b</i>-PEO diblock copolymer chain can be controlled precisely either at
the end of the PS block or the junction point between the PS and PEO
blocks, resulting in topological isomer pairs with almost identical
chemical compositions but different architectures. Phase separation
between the FPOSS head and the block copolymer tail creates a spatially
confined environment for the PS-<i>b</i>-PEO component,
which are uniformly end- or junction-point-immobilized on the FPOSS
layer, providing a unique model system to study phase behaviors and
chain conformation of tethered diblock copolymer in the condensed
state. The polymer tails are highly stretched because the cross-sectional
area of FPOSS head is smaller than that of the unperturbed block copolymer
tail, which facilitates further phase separation between the low molecular
weight PS and PEO blocks and leads to the formation of hierarchical
lamellar structures among three mutually immiscible components
Exactly Defined Half-Stemmed Polymer Lamellar Crystals with Precisely Controlled Defects’ Locations
We describe highly unconventional
situations in which the polymer
chain ends remain trapped in and are located in the middle of the
lamellar crystal core as defects. Such structures are observed in
giant molecular shape amphiphiles constructed by a polyhedral silsesquioxane
(POSS) nanoparticle tethered with a poly(ethylene oxide) (PEO) tail.
The cross-sectional area of the POSS located on the PEO lamellar surfaces
imposes that the crystalline, chain-folded PEO tails generate a surface
area that is at least comparable to the POSS requirements. Metastable
PEO crystal structures with 1.5, 2, and 2.5 stem numbers have been
observed with different thermodynamic stabilities
