Study of degradation behavior in Kapton foil after gamma irradiation at low fluence-Reference-Cited by-同舟云学术

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Study of degradation behavior in Kapton foil after gamma irradiation at low fluence

Published:2020-06-22 Issue:9-10 Volume:175 Page:879-891
ISSN:1042-0150
Container-title:Radiation Effects and Defects in Solids
language:en
Short-container-title:Radiation Effects and Defects in Solids

Author:

Rai V. N.¹²^ORCID,Jain Beena³,Mukherjee C.⁴,Choudhary P.²,Saxena Pallavi²,Mishra A.²

Affiliation:

1. Synchrotron Utilization Section, Raja Ramanna Centre for Advanced Technology, Indore, India

2. School of Physics, Devi Ahilya University, Indore, India

3. Laser Physics Application Section, Raja Ramanna Centre for Advanced Technology, Indore, India

4. Advanced Laser & Optics Division, Raja Ramanna Centre for Advanced Technology, Indore, India

Publisher

Informa UK Limited

Subject

Condensed Matter Physics,General Materials Science,Nuclear and High Energy Physics,Radiation

Link

https://www.tandfonline.com/doi/pdf/10.1080/10420150.2020.1780593

Reference37 articles.

1. Electrical conduction behaviour of high energy ion irradiated Kapton-H polyimide film

2. Mechanistical studies on the electron-induced degradation of polymethylmethacrylate and Kapton

3. Optical and microstructural studies on electron irradiated PMMA: A positron annihilation study

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1. A comparative investigation of polymers exposed to γ-rays, neutrons, and protons using optical and photoacoustic techniques;Photoacoustic and Photothermal Spectroscopy;2023

2. Recyclable magnetic orange peel residues modified by anionic surfactant for basic blue 9 removal: Experimental study and machine learning modeling;Materials Today Communications;2022-12

3. Modulation of the optoelectronic properties of polyimide (Kapton-H) films by gamma irradiation for laser attenuation and flexible space structures;Radiation Physics and Chemistry;2022-05

4. Recyclable Magnetic Orange Peel Residues Modified by Anionic Surfactant for Basic Blue 9 Removal: Experimental Study and Machine Learning Modeling;SSRN Electronic Journal;2022

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