Machine learning-enhanced Raman spectroscopy for rapid identification of aviation coating damage
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: High-Temperature Coating Behaviors · Machine Learning in Materials Science · Corrosion Behavior and Inhibition
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (59)
Show source-provided references
1. Recent advances in stealth coating10.1007/s00289-024-05166-4 ↗
2. A radar-infrared compatible stealth metamaterial with bird's nest morphology10.1016/j.jallcom.2024.174137 ↗
3. Research Progress and Design Methods of Stealth Coatings Based on Machine Learning
4. The Impact of Marine Environment on the Flight Safety of Marine Surveillance Aircraft and Countermeasures
5. A sampling of environmental data, and its presentation, from a multi-role U.S. coast guard aircraft10.1515/corrrev-2022-0038 ↗
6. Thermal shock resistance and failure mechanisms of high temperature resistant radar and infrared compatible stealth coatings10.1016/j.surfcoat.2023.129613 ↗
7. Impact of materials deterioration and corrosion on the readiness of US naval aviation10.1177/1478422X251316979 ↗
8. Li · 2023
9. Fusion of polarization degree and thermal parameters for enhanced nondestructive testing of coated metals
10. Probability of detection for corrosion-induced steel mass loss using Fe-C coated LPFG sensors10.1177/14759217241227229 ↗
11. In-Plane Heatwave Thermography as Digital Inspection Technique for Fasteners in Aircraft Fuselage Panels10.3390/app11010132 ↗
12. Wpmy Thilakarathna · Gmsm Gaspe Thermogr. Insp. Syst. Surf. Coat. Defects Aircr. Fuselage · 2022
13. Application of Machine Learning in Material Synthesis and Property Prediction10.3390/ma16175977 ↗
14. Laser ultrasonic damage detection in coating-substrate structure via Pearson correlation coefficient10.1016/j.surfcoat.2018.09.005 ↗
15. High frequency eddy current method in inspection of aluminide coatings integrity after simulating service loads10.1016/j.measurement.2025.117356 ↗
16. G.F. Jin, Z.Y. Huang, W. Zhang, Z.W. Yang, L. Zhu, 2012, Detection and Evaluation of Corrosion Damage under Coating by Infrared Thermal Wave Technology, in: 3rd International Conference on Digital Manufacturing and Automation (ICDMA 2012), Trans Tech Publications Ltd, Guangxi, PEOPLES R CHINA, 2012, pp. 447-451.10.4028/www.scientific.net/AMM.190-191.447 ↗
17. Precise paint stripping based on photochemical effect by UV laser on honeycomb sandwich panel10.1016/j.jmrt.2023.06.083 ↗
18. Property Study of Chromate Conversion Coatings Formed by Fast-Repair in Out Field
19. Rapid Discrimination of Clinically Important Pathogens Through Machine Learning Analysis of Surface Enhanced Raman Spectra10.3389/fmicb.2022.843417 ↗
20. Corrosion behavior of fluorinated carbonyl iron-hydrophobic composites in neutral salt spray environment10.1016/j.corsci.2022.110823 ↗
21. Recent Progresses in Machine Learning Assisted Raman Spectroscopy10.1002/adom.202203104 ↗
22. Comparing machine learning methods on Raman spectra from eight different spectrometers10.1016/j.saa.2025.125861 ↗
23. Raman spectroscopy powered by machine learning methods for rapid identification of foodborne pathogens10.1016/j.fbio.2025.106281 ↗
24. SuperCam Raman Activities at Jezero Crater, Mars: Observational Strategies, Data Processing, and Mineral Detections During the First 1000 Sols10.1029/2025JE008943 ↗
25. Handling non-linearities and pre-processing in multivariate calibration of vibrational spectra10.1016/j.microc.2024.112323 ↗
26. Comprehensive assessment of the role of spectral data pre-processing in spectroscopy-based liquid biopsy10.1016/j.saa.2025.126261 ↗
27. Accurate virus identification with interpretable Raman signatures by machine learning10.1073/pnas.2118836119 ↗
28. Explainable AI for Bioinformatics: Methods, Tools and Applications10.1093/bib/bbad236 ↗
29. A Narrative Review on the Interpretability of Fuzzy Rule-Based Models from a Modern Interpretable Machine Learning Perspective
30. Knowledge Driven Machine Learning Towards Interpretable Intelligent Prognostics and Health Management: Review and Case Study10.1186/s10033-024-01173-8 ↗
31. Facile preparation of highly hydrophobic ZIF-8/DMBIM modified epoxy coatings with enhanced acid, alkali and marine corrosion resistance
32. Experimental study of corrosion behavior on 7005 aluminum alloy under acidic 3.5 wt% NaCl environment10.1002/maco.202213640 ↗
33. Improving skin cancer detection by Raman spectroscopy using convolutional neural networks and data augmentation10.3389/fonc.2024.1320220 ↗
34. Application of Raman spectroscopy technology based on deep learning algorithm in the rapid diagnosis of glioma10.1002/jrs.6302 ↗
35. Distributed Raman Spectrum Data Augmentation System Using Federated Learning with Deep Generative Models10.3390/s22249900 ↗
36. Support-vector networks
37. Random Forests
38. Gradient-based learning applied to document recognition10.1109/5.726791 ↗
39. ImageNet classification with deep convolutional neural networks10.1145/3065386 ↗
40. Characterization and corrosion behaviors of TiN/TiAlN multilayer coatings by ion source enhanced hybrid arc ion plating10.1016/j.surfcoat.2019.03.027 ↗
41. Multilayer PEO coatings with encapsulated cerium for active corrosion protection of aluminium10.1038/s41529-025-00560-3 ↗
42. Corrosion in artificial defects. II. Chromate reactions10.1016/j.corsci.2005.05.029 ↗
43. Chromate leaching from inhibited primers: Part I. Characterisation of leaching10.1016/j.porgcoat.2006.01.015 ↗
44. Surface-Enhanced Raman Spectroscopy: Concepts and Chemical Applications10.1002/anie.201205748 ↗
45. A new highly efficient method for the synthesis of rutile TiO210.1016/j.jallcom.2013.09.056 ↗
46. Using X-ray tomography, PALS and Raman spectroscopy for characterization of inhibitors in epoxy coatings10.1016/j.porgcoat.2011.06.023 ↗
47. The Vibrational Spectra of Strontium Chromate (SrCrO4) and Lead Chromate (PbCrO4)10.1515/zna-1970-1212 ↗
48. Understanding the corrosion mechanism of iron artifacts using Mössbauer spectroscopy10.1038/s41598-025-95196-3 ↗
49. The Effect of Hematite on the Corrosion Behavior of Copper in Saturated Red Soil Solutions10.1007/s11665-020-04741-w ↗
50. Cu2O epitaxial films with domain structures prepared on Y-stabilized ZrO2 substrates by pulsed laser deposition10.1016/j.ceramint.2017.08.098 ↗
51. Effect of surface corrosion on the zeta potential of copper in acidic solutions
52. Inhibition of Corrosion-Related Reduction Processes via Chromium Monolayer Formation
53. Corrosion Products and Formation Mechanism During Initial Stage of Atmospheric Corrosion of Carbon Steel10.1016/S1006-706X(08)60247-2 ↗
54. Raman Spectra of Possible Corrosion Products of Iron10.1366/000370278774330739 ↗
55. Microwave Absorbing Properties of Flaky Carbonyl Iron Powder Prepared by Rod Milling Method10.1007/s11664-019-06986-1 ↗
56. A study on corrosion products and processes of patinated tin bronze in formic acid10.1007/s11164-020-04252-2 ↗
57. Study of the corrosion products formed on a multiphase CuAlBe alloy in a sodium chloride solution by micro-Raman and in situ AFM measurements10.1016/j.apsusc.2011.04.018 ↗
58. Raman spectroscopy and x-ray diffraction of phase transitions in Cr2O3–61 GPa
59. Accurate virus identification with interpretable Raman signatures by machine learning10.1073/pnas.2118836119 ↗