Novel azo-Metal–Organic Framework Showing a 10-Connected bct Net, Breathing Behavior, and Unique Photoswitching Behavior toward CO₂

Herein, we report a robust azo-metal–organic framework (MOF), namely, <b>ECUT-15</b>, which can be described as a 10-connected bct net built on trinuclear Co₃ subunits. The activated samples of it perform a somewhat breathing behavior. Most importantly, under UV irradiation, this MOF performs outstanding photoswitching behavior toward CO₂, giving great variation in the CO₂ capture/release performance, for example, 45% under static conditions and 75% under dynamic measurements, as well as instantaneous release of up to 78%

Novel azo-Metal–Organic Framework Showing a 10-Connected bct Net, Breathing Behavior, and Unique Photoswitching Behavior toward CO₂

Herein, we report a robust azo-metal–organic framework (MOF), namely, <b>ECUT-15</b>, which can be described as a 10-connected bct net built on trinuclear Co₃ subunits. The activated samples of it perform a somewhat breathing behavior. Most importantly, under UV irradiation, this MOF performs outstanding photoswitching behavior toward CO₂, giving great variation in the CO₂ capture/release performance, for example, 45% under static conditions and 75% under dynamic measurements, as well as instantaneous release of up to 78%

Orienting Oxygen Vacancy Channels in Brownmillerite Strontium Ferrite Thin Films Using Strain: Implications for Facile Oxygen Ion Transport

The control of oxygen vacancy channels (OVCs) in brownmillerite (BM) oxides has a substantial impact on tuning their physical and chemical properties. Here, we demonstrated a strain mechanism for directing the OVCs in BM-SrFeO2.5 (SFO) synthesized via a two-step process in which perovskite (P)-structured SrFeO3−δ (P-SFO3−δ) thin film is first prepared and then converted to the BM phase through the post-vacuum-annealing (PVA) treatment. The initial strain state for the first-step-prepared P-SFO3−δ thin films plays a determining role in the orientation of the OVCs of the final BM phase with the systematic manipulation of both chemical strain (lattice expansion) and epitaxial strain by tuning the oxygen deficiency and using different substrates, respectively. Larger tensile strains in the initial P-SFO3−δ thin films are inclined to facilitate the formation of BM with horizontal OVCs after PVA, while small tensile or compressive strains favor the vertical OVCs. Our results offer insights into the selective control of the orientation of the OVCs of BM-SrFeO2.5 thin films, which are of benefit to the design for functionalities related to the ion transport and migration

Illustration of x-axis partition of ChiMIC.

<p>Colored <i>r</i>×2 contingency tables are used for chi-square test.</p

A New Algorithm to Optimize Maximal Information Coefficient

<div><p>The maximal information coefficient (MIC) captures dependences between paired variables, including both functional and non-functional relationships. In this paper, we develop a new method, ChiMIC, to calculate the MIC values. The ChiMIC algorithm uses the chi-square test to terminate grid optimization and then removes the restriction of maximal grid size limitation of original ApproxMaxMI algorithm. Computational experiments show that ChiMIC algorithm can maintain same MIC values for noiseless functional relationships, but gives much smaller MIC values for independent variables. For noise functional relationship, the ChiMIC algorithm can reach the optimal partition much faster. Furthermore, the MCN values based on MIC calculated by ChiMIC can capture the complexity of functional relationships in a better way, and the statistical powers of MIC calculated by ChiMIC are higher than those calculated by ApproxMaxMI. Moreover, the computational costs of ChiMIC are much less than those of ApproxMaxMI. We apply the MIC values tofeature selection and obtain better classification accuracy using features selected by the MIC values from ChiMIC.</p></div

Statistical power of MIC from ApproxMaxMI, ChiMIC and dCor with different levels of noise, for five kinds of functional relationships.

<p>The statistical power was estimated via 500 simulations, with sample size <i>n</i> = 400.</p

Density distribution of ApproxMaxMI, ChiMIC and dCor scores for two independent variables.

<p>ApproxMaxMI, ChiMIC and dCor estimates were computed for sample size <i>n</i> = 400 over 1000 replicates.</p

Grid partition of ApproxMaxMI and ChiMIC for linear function.

<p>1000 data points simulated for functional relationships of the form <i>y</i> = <i>x</i>+<i>η</i>. where <i>η</i> is noise drawn uniformly from (−0.25, 0.25). A: Grid partition for noiseless linear function. B: Grid partition based on ApproxMaxMI for noisy linear function. C: Grid partition based on ChiMIC for noisy linear function.</p

Retained features and independent test accuracy based on MIC and ChiMIC.

<p>Retained features and independent test accuracy based on MIC and ChiMIC.</p

Illustration of x-axis partition of ChiMIC.

<p>Colored <i>r</i>×2 contingency tables are used for chi-square test.</p