CO2 hydrogenation to methanol can play an important role in meeting the sustainability goals of chemical industry. In this study, we investigated detail Cu–CeO2 interactions for synthesis, emphasizing copper surface and interface sites between ceria CO. A combined CO2–N2O titration approach was developed quantify exposed metallic oxygen vacancies reduced Cu/CeO2 catalysts. Extensive characterization shows that dispersion is strongly enhanced by strong comparison Cu/SiO2. activity data show...

Indium oxide (In2O3) is a promising catalyst for selective CH3OH synthesis from CO2 but displays insufficient activity at low reaction temperatures. By screening range of promoters (Co, Ni, Cu, and Pd) in combination with In2O3 using flame spray pyrolysis (FSP) synthesis, Ni identified as the most suitable first-row transition-metal promoter similar performance Pd–In2O3. NiO–In2O3 was optimized by varying Ni/In ratio FSP. The resulting catalysts including NiO end members have high specific...

The hydrogenation of CO2 to CH3OH is an important reaction for future renewable energy scenarios. Herein, we compare Cu/ZnO, Cu/CeO2, and Cu/ZnO–CeO2 catalysts prepared by flame spray pyrolysis. Cu loading support composition were varied understand the role Cu–ZnO Cu–CeO2 interactions. CeO2 addition improves dispersion with respect ZnO, owing stronger ternary displayed a substantially higher selectivity than binary Cu/CeO2 Cu/ZnO catalysts. high in comparison commercial catalyst also...

A catalytic process for the upgrading of woody biomass into mono-aromatics, hemi-cellulose sugars and a solid cellulose-rich carbohydrate residue is presented.

The recent thrust in utilizing reduced graphene oxide (RGO) as a support for nanostructured catalyst particles has led to the claims of improved efficiency solar cells, fuel and photocatalytic degradation pollutants. Specifically, robust TiO2 system is often coupled with RGO improve charge separation facilitate redox reactions. Here, we probe stability presence UV-excited aqueous media establish its reactivity toward OH• radicals, primary oxidant generated at surface. By probing changes...

Abstract Adding value to lignin, the most complex and recalcitrant fraction in lignocellulosic biomass, is highly relevant costefficient operation of biorefineries. We report use homogeneous metal triflates rapidly release lignin from biomass. Combined with metal‐catalyzed hydrogenolysis, process separates woody biomass into few lignin‐derived alkylmethoxyphenols cellulose under mild conditions. Model compound studies show unique catalytic properties cleaving lignin–carbohydrate...

The one-step ethanolysis approach to upgrade lignin monomeric aromatics using a CuMgAl mixed oxide catalyst is studied in detail. influence of reaction temperature (200–420 °C) on the product distribution investigated. At low (200–250 °C), recondensation dominant, while char-forming reactions become significant at high (>380 °C). preferred intermediate temperatures (300–340 are effectively suppressed by alkylation and Guerbet esterification reactions. This shifts toward depolymerization,...

The valorization of lignin in renewable lignocellulosic biomass is an important target the transition to a more sustainable production fuels and chemicals. We present here modification "lignin-first" approach that does not hinge on use external hydrogen. Instead, we methanol/water mixtures as suitable solvent can be partly reformed into propose one-step process which planta (wood sawdust) converted phenolic monomers over Pt-based catalyst inert atmosphere. role mixture only supply hydrogen...

The 'lignin-first' approach has recently gained attention as an alternative whole biomass pretreatment technology with improved yield and selectivity of aromatics compared traditional upgrading processes using technical lignins. Metal triflates are effective co-catalysts that considerably speed up the removal lignin fragments from biomass. As their cost is too high in a scaled-up process, we explored here use HCl, H2SO4, H3PO4 CH3COOH acid for tandem reductive fractionation process. HCl...

Abstract This paper presents the development of a Human Activity Recognition (HAR) system that uses network nine inertial measurement units situated in different body parts. Every unit provides 3D (3-dimension) acceleration, angular velocity, magnetic field orientation, and 4D quaternions. identifies 33 physical activities (walking, running, cycling, lateral elevation arms, etc.). The is composed two main modules: feature extractor for obtaining most relevant characteristics from signals...

Event cameras draw inspiration from biological systems, boasting low latency and high dynamic range while consuming minimal power. The most current approach to processing Cloud often involves converting it into frame-based representations, which neglects the sparsity of events, loses fine-grained temporal information, increases computational burden. In contrast, Point is a popular representation for 3-dimensional data serves as an alternative method exploit local global spatial features....

Structure-performance relations for molybdenum (oxy)carbide catalysts evaluated CO₂ hydrogenation and anisole hydrodeoxygenation.

In2O3 is a promising electrocatalyst for CO2 electroreduction (CO2ER) to formate. nanoparticles doped with Pd, Ni, Co, Zr, and Ce promoters using flame-spray pyrolysis were characterized evaluated in gas diffusion electrode the CO2ER. Doping results slight shifts of In binding energy as probed by XPS, which correlates change Faradaic efficiency formate (FEformate) order Ce-doped > Zr-doped Pd-doped Ni-doped Co-doped In2O3. However, differences CO2ER performance are caused mainly different...

Uyghur language is written in a modified Arabic script. Due to its cursive nature and the lack of enough labeled training samples, document recognition still challenging problem. In this paper, we propose new Recurrent Neural Network (RNN) based text line method combining Gated Unit (GRU) Restricted Boltzmann Machine (RBM) with pretraining mechanism. We also present novel curriculum learning technique guided by sample distribution information. Experimental results on practical printed image...

Abstract Invited for this month′s cover is the group of Emiel Hensen at Eindhoven University Technology. The image shows how lignin component can be effectively released from wood and converted into aromatics over a tandem Al‐triflate Pd/C catalyst. Communication itself available 10.1002/cssc.201601252 .

With continuous development and application of computer vision, images with high clarity quality are increasingly important in training different kinds models, especially the field automated driving road safety monitoring. In this paper, through learning on benchmarking dataset, we propose a novel quadratic model color attenuation prior to calculate scene depth map then obtain transmission matrix restore hazy-free image. Numerous experimental results show that proposed approach is more...

Event cameras exhibit remarkable attributes such as high dynamic range, asynchronicity, and low latency, making them highly suitable for vision tasks that involve high-speed motion in challenging lighting conditions. These implicitly capture movement depth information events, appealing sensors Camera Pose Relocalization (CPR) tasks. Nevertheless, existing CPR networks based on events neglect the pivotal fine-grained temporal resulting unsatisfactory performance. Moreover, energy-efficient...

Multipliers and multiply-accumulators (MACs) are critical arithmetic circuit components in the modern era. As essential of AI accelerators, they significantly influence area performance compute-intensive circuits. This paper presents UFO-MAC, a unified framework for optimization multipliers MACs. Specifically, UFO-MAC employs an optimal compressor tree structure utilizes integer linear programming (ILP) to refine stage assignment interconnection compressors. Additionally, it explicitly...

Multiplication is a fundamental operation in many applications, and multipliers are widely adopted various circuits. However, optimizing challenging non-trivial due to the huge design space. In this paper, we propose RL-MUL, multiplier optimization framework based on reinforcement learning. Specifically, utilize matrix tensor representations for compressor tree of multiplier, which convolutional neural networks can be seamlessly incorporated as agent network. The learn optimize structure...