Real-Time and Correlative Imaging of Localised Corrosion Events by High-Speed Atomic Force Microscopy-Reference-Cited by-同舟云学术

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Real-Time and Correlative Imaging of Localised Corrosion Events by High-Speed Atomic Force Microscopy

Published:2022-08-01 Issue:S1 Volume:28 Page:2116-2117
ISSN:1435-8115
Container-title:Microscopy and Microanalysis
language:en
Short-container-title:

Author:

Moore Stacy¹²,Burrows Robert³,Picco Loren⁴⁵,Payton Oliver D¹²⁵,Martin Tomas L¹²

Affiliation:

1. Interface Analysis Centre , HH Wills Physics Laboratory, , Bristol, BS8 1TL, UK

2. University of Bristol , HH Wills Physics Laboratory, , Bristol, BS8 1TL, UK

3. National Nuclear Laboratory , Building 102B, Stonehouse Park, Sperry Way, Stonehouse, Gloucestershire, GL10 3UT, UK

4. Virginia Commonwealth University Department of Physics, , VA, United States

5. Bristol Nano Dynamics Ltd. , Bristol, UK

Publisher

Oxford University Press (OUP)

Subject

Instrumentation

Link

https://academic.oup.com/mam/article-pdf/28/S1/2116/48823927/mam2116.pdf

Reference6 articles.

1. Observation of stress corrosion cracking using real-time in situ high-speed atomic force microscopy and correlative techniques

2. A study of dynamic nanoscale corrosion initiation events using HS-AFM

3. Investigation of thermally sensitised stainless steels as analogues for spent AGR fuel cladding to test a corrosion inhibitor for intergranular stress corrosion cracking

4. In situ observations of the early stages of localized corrosion in Type 304 SS using the electrochemical atomic force microscope

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Microstructural analysis of ex-service neutron irradiated stainless steel nuclear fuel cladding by high-speed AFM;Journal of Nuclear Materials;2024-11

2. Microstructural Analysis of Ex-Service Neutron Irradiated Stainless Steel Nuclear Fuel Cladding by High-Speed Afm;2024

3. Nonlinear size-dependent aerodynamics of axially reinforced doubly curved micropanel with GPLs: Application of innovative artificial neural network model;Mechanics of Advanced Materials and Structures;2023-09-23

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