Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys
<jats:p>Quantifying the population of nanoscale defects that are formed in metals and alloys exposed to extreme radiation environments remains a pressing challenge in materials science. These defects both fundamentally alter material properties and seed long-timescale performance degradation,...
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| Format: | Article |
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Frontiers Media SA
2022
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| Online Access: | https://hdl.handle.net/1721.1/143655 |
| _version_ | 1826208620846514176 |
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| author | Hirst, Charles A. Dennett, Cody A. |
| author2 | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Hirst, Charles A. Dennett, Cody A. |
| author_sort | Hirst, Charles A. |
| collection | MIT |
| description | <jats:p>Quantifying the population of nanoscale defects that are formed in metals and alloys exposed to extreme radiation environments remains a pressing challenge in materials science. These defects both fundamentally alter material properties and seed long-timescale performance degradation, which often limits the lifespan of engineering systems. Unlike ceramic and semiconducting materials, these defects in metals and alloys are not spectroscopically active, forcing characterization to rely on indirect measurements from which the distribution of nanoscale defects may be inferred. In this mini-review, different experimental methodologies which have been employed for defect inference are highlighted to capture the current state of the art. Future directions in this area are proposed, which, by combining data streams from multiple and complementary characterization methods in concert with multi-scale modeling and simulation, will enable the ultimate goal of quantifying the full spectrum of defects in irradiated metals and alloys.</jats:p> |
| first_indexed | 2024-09-23T14:08:32Z |
| format | Article |
| id | mit-1721.1/143655 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:08:32Z |
| publishDate | 2022 |
| publisher | Frontiers Media SA |
| record_format | dspace |
| spelling | mit-1721.1/1436552023-02-10T21:43:38Z Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys Hirst, Charles A. Dennett, Cody A. Massachusetts Institute of Technology. Department of Nuclear Science and Engineering <jats:p>Quantifying the population of nanoscale defects that are formed in metals and alloys exposed to extreme radiation environments remains a pressing challenge in materials science. These defects both fundamentally alter material properties and seed long-timescale performance degradation, which often limits the lifespan of engineering systems. Unlike ceramic and semiconducting materials, these defects in metals and alloys are not spectroscopically active, forcing characterization to rely on indirect measurements from which the distribution of nanoscale defects may be inferred. In this mini-review, different experimental methodologies which have been employed for defect inference are highlighted to capture the current state of the art. Future directions in this area are proposed, which, by combining data streams from multiple and complementary characterization methods in concert with multi-scale modeling and simulation, will enable the ultimate goal of quantifying the full spectrum of defects in irradiated metals and alloys.</jats:p> 2022-07-11T18:31:20Z 2022-07-11T18:31:20Z 2022-05-13 Article http://purl.org/eprint/type/JournalArticle 2296-8016 https://hdl.handle.net/1721.1/143655 Hirst, Charles A. and Dennett, Cody A. 2022. "Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys." Frontiers in Materials, 9. 10.3389/fmats.2022.888356 Frontiers in Materials Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Frontiers Media SA Frontiers |
| spellingShingle | Hirst, Charles A. Dennett, Cody A. Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys |
| title | Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys |
| title_full | Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys |
| title_fullStr | Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys |
| title_full_unstemmed | Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys |
| title_short | Towards Quantitative Inference of Nanoscale Defects in Irradiated Metals and Alloys |
| title_sort | towards quantitative inference of nanoscale defects in irradiated metals and alloys |
| url | https://hdl.handle.net/1721.1/143655 |
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