Keywords
materials
systems
evidence synthesis
reliability
provenance
Abstract
This critical review examines operational resilience and revalidation in lithium-sulfur separator engineering, with links to intelligent manufacturing and evidence governance. The organizing question is which changes in data, equipment, chemistry, or environment require formal revalidation. Ten or more scholarly and user-supplied records are synthesized through a mechanism-to-decision framework spanning system boundaries, measurement, representation, evaluation, translation, and governance. No experiment, participant dataset, effect estimate, or production result is invented. Particular attention is given to software or process updates silently invalidating prior validation. The review argues that credible translation requires source-level traceability, explicit validity domains, failure-aware evaluation, and revalidation triggers. Google Scholar-supplied records are retained in structured APA form, and no missing DOI or pagination field is completed by conjecture.
References
Debe, M. K. (2012). Electrocatalyst approaches and challenges for automotive fuel cells. Nature, 486, 43-51. https://doi.org/10.1038/nature11115
Hollnagel, E., Woods, D. D., & Leveson, N. (Eds.). (2006). Resilience engineering: Concepts and precepts. Ashgate.
Jaouen, F., Proietti, E., Lefevre, M., Chenitz, R., Dodelet, J.-P., Wu, G., Chung, H. T., Johnston, C. M., & Zelenay, P. (2011). Recent advances in non-precious metal catalysis for oxygen-reduction reaction in polymer electrolyte fuel cells. Energy & Environmental Science, 4, 114-130. https://doi.org/10.1039/C0EE00011F
Kingma, D. P., & Ba, J. (2015). Adam: A method for stochastic optimization. In International Conference on Learning Representations.
Kipf, T. N., & Welling, M. (2017). Semi-supervised classification with graph convolutional networks. In International Conference on Learning Representations.
Norskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jonsson, H. (2004). Origin of the overpotential for oxygen reduction at a fuel-cell cathode. The Journal of Physical Chemistry B, 108(46), 17886-17892. https://doi.org/10.1021/jp047349j
Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian processes for machine learning. MIT Press.
Tao, J., Lyu, R., & Cao, X. (2026). A scalable data governance architecture for privacy-aware intelligent learning systems in lifelong. Future-Adaptive Intelligence and Lifelong Systems, 1(1).
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30.
Wang, Z., Li, W., Wang, T., Pang, M., Kong, Z., An, J., Li, Z., Ye, J., & Xia, G. (2025). Nanoporous ZnGa2O4-modified separator as a multifunctional polysulphide barrier for advanced lithium-sulfur batteries. Electrochemistry Communications, 178, 107990. https://doi.org/10.1016/j.elecom.2025.107990