169 research outputs found
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Rational Design of Novel Halide Perovskites Combining Computations and Experiments
The perovskite family of materials is extremely large and provides a template for designing materials for different purposes. Among them, hybrid organic-inorganic perovskites (HOIPs) are very interesting and have been recently identified as possible next generation light harvesting materials because they combine low manufacturing cost and relatively high power conversion efficiencies (PCEs). In addition, some other applications like light emitting devices are also highly studied. This thesis starts with an introduction to the solar cell technologies that could use HOIPs. In Chapter 2, previously published results on the structural, electronic, optical and mechanical properties of HOIPs are reviewed in order to understand the background and latest developments in this field. Chapter 3 discusses the computational and experimental methods used in the following chapters. Then Chapter 4 describes the discovery of several hybrid double perovskites, with the formula (MA)MMX (MA = methylammonium, CHNH, M = K, Ag and Tl, M = Bi, Y and Gd, X = Cl and Br). Chapter 5 presents studies on the variable presure and temperature response of formamidinium lead halides FAPbBr (FA = formamidinium, CH(NH)) as well as the mechanical properties of FAPbBr and FAPbI, followed by a computational study connecting the mechanical properties of halide perovskites ABX (A = K, Rb, Cs, Fr and MA, X = Cl, Br and I) to their electronic transport properties. Chapter 6 describes a study on the phase stability, transformation and electronic properties of low-dimensional hybrid perovskites containing the guanidinium cation GuaPbI (x = 1, 2 and 3, Gua = guanidinium, C(NH)). The conclusions and possible future work are summarized in Chapter 7. These results provide theoreticians and experimentalists with insight into the design and synthesis of novel, highly efficient, stable and environmentally friendly materials for solar cell applications as well as for other purposes in the future
On the Active Components in Crystalline Li-Nb-O and Li-Ta-O Coatings from First Principles
Layered-oxide (NMC) positive electrodes
with high Nickel content, deliver high voltages and energy densities. However,
a high nickel content, e.g., = 0.8 (NMC 811), can lead to high surface
reactivity, which can trigger thermal runaway and gas generation. While claimed
safer, all-solid-state batteries still suffer from high interfacial resistance.
Here, we investigate niobate and tantalate coating materials, which can
mitigate the interfacial reactivities in Li-ion and all-solid-state batteries.
First-principles calculations reveal the multiphasic nature of Li-Nb-O and
Li-Ta-O coatings, containing mixtures of and
, or of and . The
concurrence of several phases in Li-Nb-O or Li-Ta-O modulates the type of
stable native defects in these coatings. Li-Nb-O and Li-Ta-O coating materials
can form favorably lithium vacancies and antisite
defects
() combined into
charge-neutral defect complexes. Even in defective crystalline
(or ), we reveal poor Li-ion conduction
properties. In contrast, and that are
introduced by high-temperature calcinations can provide adequate Li-ion
transport in these coatings. Our in-depth investigation of the
structure-property relationships in the important Li-Nb-O and Li-Ta-O coating
materials helps to develop more suitable calcination protocols to maximize the
functional properties of these niobates and tantalates
AdaFuse: Adaptive Medical Image Fusion Based on Spatial-Frequential Cross Attention
Multi-modal medical image fusion is essential for the precise clinical
diagnosis and surgical navigation since it can merge the complementary
information in multi-modalities into a single image. The quality of the fused
image depends on the extracted single modality features as well as the fusion
rules for multi-modal information. Existing deep learning-based fusion methods
can fully exploit the semantic features of each modality, they cannot
distinguish the effective low and high frequency information of each modality
and fuse them adaptively. To address this issue, we propose AdaFuse, in which
multimodal image information is fused adaptively through frequency-guided
attention mechanism based on Fourier transform. Specifically, we propose the
cross-attention fusion (CAF) block, which adaptively fuses features of two
modalities in the spatial and frequency domains by exchanging key and query
values, and then calculates the cross-attention scores between the spatial and
frequency features to further guide the spatial-frequential information fusion.
The CAF block enhances the high-frequency features of the different modalities
so that the details in the fused images can be retained. Moreover, we design a
novel loss function composed of structure loss and content loss to preserve
both low and high frequency information. Extensive comparison experiments on
several datasets demonstrate that the proposed method outperforms
state-of-the-art methods in terms of both visual quality and quantitative
metrics. The ablation experiments also validate the effectiveness of the
proposed loss and fusion strategy
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Ab initio computation for solid-state 31 P NMR of inorganic phosphates: revisiting X-ray structures
Atomic-scale insights into the low-temperature oxidation of methanol over a single-atom Pt1-Co3O4 catalyst
Heterogeneous catalysts with single‐atom active sites offer a means of expanding the industrial application of noble metal catalysts. Herein, an atomically dispersed Pt1‐Co3O4 catalyst is presented, which exhibits an exceptionally high efficiency for the total oxidation of methanol. Experimental and theoretical investigations indicate that this catalyst consists of Pt sites with a large proportion of occupied high electronic states. These sites possess a strong affinity for inactive Co2+ sites and anchor over the surface of (111) crystal plane, which increases the metal–support interaction of the Pt1‐Co3O4 material and accelerates the rate of oxygen vacancies regeneration. In turn, this is determined to promote the coadsorption of the probe methanol molecule and O2. Density functional theory calculations confirm that the electron transfer over the oxygen vacancies reduces both the methanol adsorption energy and activation barriers for methanol oxidation, which is proposed to significantly enhance the dissociation of the CH bond in the methanol decomposition reaction. This investigation serves as a solid foundation for characterizing and understanding single‐atom catalysts for heterogeneous oxidation reactions
Fabrication of astaxanthin-loaded electrospun nanofiber-based mucoadhesive patches with water‐insoluble backing for the treatment of oral premalignant lesions
Oral premalignant lesions (OPL) are one of the most common oral diseases, affecting the quality of life and even leading to oral cancer. Current treatments commonly use steroids/retinoids in mouthwashes, films, or ointments. However, conventional drugs/formulations have significant side effects/limitations. Herein, astaxanthin-loaded polycaprolactone (PCL)/gelatin (GT) nanofiber-based mucoadhesive patches (PGA) with the water‐insoluble PCL nanofiber backing (PCL/PGA) are developed via electrospinning for the management of OPL. The saliva-insoluble PCL backing could greatly prevent drug loss after application in the oral cavity. The prepared PCL/PGA patches exhibit a suitable astaxanthin release rate for achieving high local drug concentration, which permeated into buccal mucosa. In addition, the developed thin patches display excellent wet tissue adhesion and great air permeability due to their high porosity. Notably, the in vivo experiment shows that the bioactive mucoadhesive patches significantly promote the recovery of OPL by suppressing the expression of Ki67 and cyclooxygenase-2 (COX-2), comparable to clinical tretinoin cream formulation. Also, the patches did not induce any side effects (i.e., hair loss and oral ulcers) compared to clinical tretinoin cream formulation. The results demonstrate that this novel electrospun mucoadhesive bilayer patch holds great potential for the treatment of OPL
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