An improved version of atom search optimization (ASO) algorithm is proposed in this paper The search capability of ASO was improved by using simulated annealing (SA) algorithm as an embedded part of it The proposed hybrid algorithm was named as hASO-SA and used for optimizing nonlinear and linearized problems such as training multilayer perceptron (MLP) and proportional-integral-derivative controller design for DC motor speed regulation as well as testing benchmark functions of unimodal, multimodal, hybrid and composition types The obtained results on classical and CEC2014 benchmark functions were compared with other metaheuristic algorithms, including two other SA-based hybrid versions, which showed the greater capability of the proposed approach In addition, nonparametric statistical test was performed for further verification of the superior performance of hASO-SA In terms of MLP training, several datasets were used and the obtained results were compared with respective competitive algorithms The results clearly indicated the performance of the proposed algorithm to be better For the case of controller design, the performance evaluation was performed by comparing it with the recent studies adopting the same controller parameters and limits as well as objective function The transient, frequency and robustness analysis demonstrated the superior ability of the proposed approach In brief, the comparative analyses indicated the proposed algorithm to be successful for optimization problems with different nature

A New Fusion of ASO with SA Algorithm and Its Applications to MLP Training and DC Motor Speed Control

Exergy destruction analysis of a low-temperature Compressed Carbon dioxide Energy Storage system based on conventional and advanced exergy methods

One-dimensional optimisation design and off-design operation strategy of centrifugal compressor for supercritical carbon dioxide Brayton cycle

General and unique issues at multiple scales for supercritical carbon dioxide power system: A review on recent advances

Aerodynamic design and multi-dimensional performance optimization of supercritical CO2 centrifugal compressor

Optimization design for supercritical carbon dioxide compressor based on simulated annealing algorithm

https://koreascience.or.kr:443/article/JAKO202026252109578.pdf

Performance analysis of S-CO2 recompression Brayton cycle based on turbomachinery detailed design

Hydrogen emerges as alternative green energy, replacing fossil fuels due to its high gravimetric energy density, pollution free, efficiency, and renewability. Ammonia borane (AB) possessing high hydrogen density (19.6 wt.%)...

Recent progress on porous catalysts for dehydrogenation of ammonia borane

Supported noble metal catalysts have exhibited satisfactory catalytic performance in the dehydrogenation of liquid chemical hydrogen carriers, in which the supports play a paramount role in conditioning the nature of the active center and thus improving the overall reactivity. Herein, the specially designed nitrogen/amino co-functionalized carbon (NH2-NC) supports are prepared to load active Pd nanoclusters for efficient dehydrogenation of formic acid (FA). The nitrogen/amino co-functionalization of carbon not only facilitates the Pd nanoclusters evenly dispersed with a mean size of 1.4 nm, but also provides a beneficial metal-support interaction to promote FA dehydrogenation. The as-prepared Pd@NH2-NC discloses a 100% conversion of FA into CO2 and H2 with a remarkable initial turnover frequency (TOFinitial) of 4,892 h-1 and a low activation energy (Ea) of 28.5 kJ mol-1 without additive at 298 K. The work proposes a co-functionalization strategy to reasonably design supports for heterogeneous catalysts and may be extended to develop other multi-functionalized supports with different compositions and nanostructures.

Active Pd nanoclusters supported on nitrogen/amino co-functionalized carbon for highly efficient dehydrogenation of formic acid

The dielectric and magnetic coexistence behavior of high entropy oxides (HEOs) injects infinite dynamism in promoting electromagnetic wave (EMW) absorption, but precisely constructing their regular geometries at the nanoscale remains challenging. Herein, the controlled preparation of reduced graphite oxide loaded (CoFeNiCuMn)O with various geometries by a rapid plasma process is reported. Modifying only the metal content of the precursor can effectively influence the morphology and dielectric properties of the resulting derivatives, achieving well‐matched impedance and ensuring outstanding absorption performance. The results show that the truncated octahedral HEO/RGO composite exhibits the strongest absorbing capacity, with a minimum reflection loss of −57 dB at 14.1 GHz and the corresponding effective absorption bandwidth covering 4.13 GHz. Moreover, the constitutive relationship between the multi‐element synergies of high entropy oxides and the microwave absorption characteristics is systematically explored, and the absorbing mechanism is proposed. Delayed wireless charging time and the simulated values of RCS less than −10 dBm2 at the whole detection angles further demonstrate its dissipation capability in practical application scenarios. This study not only enriches the variety of lightweight and efficient absorbing materials but also guides for the new configuration design of HEOs.

Plasma‐Induced Geometry Engineering in High‐Entropy Oxide Composites for Superior Electromagnetic Absorption

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