研究论文
Machine learning enabled efficient prediction and accelerated discovery of palladium alloys membranes for hydrogen separation
Duo Yang, Pengchong Xu, Qiaobang Xiang, Wei Xue, Ningbo Liao
Wenzhou University
来源Journal of Membrane Science
年份2025
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工程Fuel Cells and Related Materials
Machine Learning in Materials Science · Membrane Separation and Gas Transport
参考文献 60
Application of a Pd–Ru composite membrane to hydrogen production in a high temperature membrane reactor
被引 96Hani W. Abu El Hawa, Stephen N. Paglieri, Craig C. Morris · Separation and Purification Technology · 2015
Alloys based on Group 5 metals for hydrogen purification membranes
被引 57S. Kozhakhmetov, Nikolai I. Sidorov, V. Piven · Journal of Alloys and Compounds · 2015
Permeance should be used to characterize the productivity of a polymeric gas separation membrane
被引 88Z ZHU · Journal of Membrane Science · 2006
此处列出前 3 条
引用本文 6
Advances and Challenges in Perovskite Oxide Design for High‐Performance Zinc–Air Batteries: Integrating Experimental Strategies and Machine Learning
被引 33H J Geng, Xiaohong Zou, Yi Min · Advanced Functional Materials · 2025
Adding machine learning to the polymer reaction engineering toolbox
被引 13Kiarash Farajzadehahary, Shaghayegh Hamzehlou, Nicholas Ballard · Progress in Polymer Science · 2025
Hybrid models, digital twins, and digital shadows for sustainable membrane technologies: A critical review
被引 12Kamran Ghasemzadeh, Mostafa Jafari, Tara Torabi · Advanced Membranes · 2026
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