期刊：Inventions

期刊主页：https://www.mdpi.com/journal/inventions

导语：

本期编辑荐读精选2024年发表于Inventions期刊（IF 1.9；CiteScore 4.9；收录于 Scopus、ESCI、Ei Compendex，ISSN：2411-5134）“Energy and Thermal/Fluidic Science” Section 高引文章，期望为“能源与热/流体科学”领域学者提供有价值的研究参考与学术启发，欢迎关注与阅读。

1. Numerical Simulation of Effective Heat Recapture Ammonia Pyrolysis System for Hydrogen Energy

用于氢能的高效热回收氨裂解系统的数值模拟

https://www.mdpi.com/2411-5134/9/3/56

Lim, J.T.; Ng, E.Y.-K.; Saeedipour, H.; Lee, H.K. Numerical Simulation of Effective Heat Recapture Ammonia Pyrolysis System for Hydrogen Energy. Inventions 2024, 9, 56. https://doi.org/10.3390/inventions9030056

2. Lab Scale Investigation of Gaseous Emissions, Performance and Stability of an Aviation Turbo-Engine While Running on Biodiesel Based Sustainable Aviation Fuel

基于生物柴油的可持续航空燃料驱动航空涡轮发动机的气体排放、性能及稳定性实验室尺度研究

https://www.mdpi.com/2411-5134/9/1/16

Mirea, R.; Cican, G. Lab Scale Investigation of Gaseous Emissions, Performance and Stability of an Aviation Turbo-Engine While Running on Biodiesel Based Sustainable Aviation Fuel. Inventions 2024, 9, 16. https://doi.org/10.3390/inventions9010016

3. The Influence of Nusselt Correlation on Exergy Efficiency of a Plate Heat Exchanger Operating with TiO2:SiO2/EG:DI Hybrid Nanofluid

Nusselt关联式对以 TiO2:SiO2/EG:DI 混合纳米流体运行的板式换热器?效率的影响

https://www.mdpi.com/2411-5134/9/1/11

Wci?lik, S. The Influence of Nusselt Correlation on Exergy Efficiency of a Plate Heat Exchanger Operating with TiO2:SiO2/EG:DI Hybrid Nanofluid. Inventions 2024, 9, 11. https://doi.org/10.3390/inventions9010011

4. Two-Phase Flow Pattern Identification in Vertical Pipes Using Transformer Neural Networks

Transformer神经网络在重直管道两相流型识别中的应用

https://www.mdpi.com/2411-5134/9/1/15

Ruiz-Díaz, C.M.; Perilla-Plata, E.E.; González-Estrada, O.A. Two-Phase Flow Pattern Identification in Vertical Pipes Using Transformer Neural Networks. Inventions 2024, 9, 15. https://doi.org/10.3390/inventions9010015

5. From Sparse to Dense Representations in Open Channel Flow Images with Convolutional Neural Networks

基于卷积神经网络的明渠水流图像从稀疏到稠密表征研究

https://www.mdpi.com/2411-5134/9/2/27

Sofos, F.; Sofiadis, G.; Chatzoglou, E.; Palasis, A.; Karakasidis, T.E.; Liakopoulos, A. From Sparse to Dense Representations in Open Channel Flow Images with Convolutional Neural Networks. Inventions 2024, 9, 27. https://doi.org/10.3390/inventions9020027

Inventions 期刊介绍

主编：Chien-Hung Liu, National Chung Hsing University；Shoou-Jinn Chang, National Cheng Kung University

期刊重点关注基于专利或创新的原创性科学研究，涵盖工程、电子、材料、能源、先进制造、智能设计等领域的突破性发明与技术革新。目前已被Scopus、ESCI (Web of Science)、Ei Compendex等数据库收录。