Investigation of Pesticidal and Anti-biofilm Potential of Calotropis gigantea Latex Encapsulated Zeolitic Imidazole Nanoframeworks

Journal of Inorganic and Organometallic Polymers and Materials - Zeolitic imidazole frameworks (ZIFs) are multifunctional and biocompatible material for biomedical applications. Herein we report...     

Circuit Analysis and Optimization of GAA Nanowire FET Towards Low Power and High Switching

Silicon - The main aim of this work is to study the effect of symmetric and asymmetric spacer length variations towards source and drain on n-channel SOI JL vertically stacked (VS) nanowire (NW)...     

Physical effects of nanoaluminum oxide and nanographene on kenaf epoxy composite; vacuum bagging process

In this study, the effect of secondary filler nanographene and primary filler nanoaluminum oxide with kenaf epoxy was investigated. The vacuum bagging process was performed, and a magnetic stirrer was used for blending additives. Water absorption (borewell, distilled, normal, and seawater) and chemical absorption (acid, base, and neutral solution) tests were carried out to evaluate the water absorption, chemical absorption, thickness swelling, and diffusivity of the composite with varying percentages of fillers. The result demonstrates that the addition of 6% primary and 3% secondary filler together, increases the density of the sample by 13.5% and decreases void content by 77%. The addition of secondary filler lowers water absorption in normal water by 1.3% compared to other types of water, as the addition of secondary filler increases the water absorption decreases by 70% in borewell water, 75% in distilled water, 76% in normal water, and 69% in seawater. Thickness swelling of the samples decreases upon the addition of secondary fillers. In acid, the primary and secondary fillers increase the resistance to dissolution. The diffusivity rate of the sample with a combination of fillers 1.3 × 10⁻⁵.     

tachyon: Efficient Shared Memory Parallel Computation of Extremum Graphs

The extremum graph is a succinct representation of the Morse decomposition of a scalar field. It has increasingly become a useful data structure that supports topological feature-directed visualization of 2D/3D scalar fields, and enables dimensionality reduction together with exploratory analysis of high-dimensional scalar fields. Current methods that employ the extremum graph compute it either using a simple sequential algorithm for computing the Morse decomposition or by computing the more detailed Morse–Smale complex. Both approaches are typically limited to two and three-dimensional scalar fields. We describe a GPU–CPU hybrid parallel algorithm for computing the extremum graph of scalar fields in all dimensions. The proposed shared memory algorithm utilizes both fine-grained parallelism and task parallelism to achieve efficiency. An open source software library, tachyon , that implements the algorithm exhibits superior performance and good scaling behaviour.     

Stimuli–Responsive Mechanoadaptive Elastomeric Composite Materials: Challenges,Opportunities, and New Approaches

Stimuli–responsive mechanoadaptive materials, capable of reversibly changing their mechanical properties when exposed to an external stimulus, are the next generation of smart materials with immense transformative potential for various technological applications. Although the concept of adaptive mechanical properties has been proven for some materials, it remains very challenging for soft elastomeric materials. The aim of this review is to provide new ideas and strategies for the development of mechanoadaptive elastomeric composites using commercial rubber as the matrix polymer. The fundamental question addressed here is as follows: How do the phase-responsive functional fillers alter the mechanical properties? For a given physical network environment, what is the mechanism that gives rise to the stimuli–responsive properties of the resulting composites? Herein, the preparation, structure, and properties of recently developed mechanoadaptive elastomeric materials are summarized. Furthermore, based on their structure–property relationships, plausible applications of these smart materials in various technology-specific applications such as soft robotics, actuators, sensors, smart tires, automotive design, aerospace, etc. are demonstrated with representative examples. Finally, the article critically discusses the existing challenges in the field of mechanoadaptive elastomers in order to provide valuable insights in this area.     

MnCO3 Cuboids from Spent LIBs: A New Age Displacement Anode to Build High-Performance Li-Ion Capacitors

The advantage of hybridizing battery and supercapacitor electrodes has succeeded recently in designing hybrid charge storage systems such as lithium-ion capacitors (LICs) with the benefits of higher energy than supercapacitors and more power density than batteries. However, sluggish Li-ion diffusion of battery anode is one of the main barriers and hampers the development of high-performance LICs. Herein, is introduced a new conversion/displacement type anode, MnCO₃, via effectively recycling spent Li-ion batteries cathodes for LICs applications. The MnCO₃ cuboids are regenerated from the spent LiMn₂O₄ cathodes by organic acid lixiviation process, and hydrothermal treatment displays excellent reversibility of 535  mAh g⁻¹ after 50  cycles with a Coulombic efficiency of >99%. Later, LIC is assembled with the regenerated MnCO₃ cubes in pre-lithiated form (Mn⁰ + Li₂CO₃) as anode and commercial activated carbon (AC) as the cathode, delivering a maximum energy density of 169.4 Wh kg⁻¹ at 25 °C with ultra-long durability of 15,000 cycles. Even at various atmospheres like −5 and 50 °C, this LIC can offer a energy densities of 53.8 and 119.5 Wh kg⁻¹, respectively. Remarkably, the constructed AC/Mn⁰ + Li₂CO₃-based LIC exhibits a good cycling performance for a continuous 1000 cycles with >91% retention invariably for all temperature conditions.