Abstract:
Understanding and predicting materials behaviour is inherently a multi-dimensional problem necessitating characterisation techniques that can probe a large range of different length and timescales. By exploiting advances in nanofabrication, optical techniques, and ultrafast X-ray sources there have been a number of recent breakthroughs reported which have transformed our ability to image both biological and solid-state materials. For the past 10 years my group have been working on a range of inverse problems for analysing data collected from whole engineering components right down to studying the structure and composition of single biological cells. In this talk I will review some of the key advances we have been involved in developing and discuss how these could impact our fundamental understanding of materials and life science behaviour.
聴講方法については, 下記連絡先まで, お問い合わせ下さい.
連絡先:
Daniel Gaina ( daniel@imi.kyushu-u.ac.jp )
〒819-0395
福岡市西区元岡744番地
TEL:092-802-4402
FAX:092-802-4405
(数理・MI研究所事務室)
IMI(マス・フォア・インダストリ研究所)
共同利用・共同研究拠点
セミナー
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リスト | ![]() |
全て(掲示受付分)(1961) | ![]() |
今日・明日のセミナー(2) |
Inverse Problems for Imaging
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開催時期 | 2021-08-31 12:00~2021-08-31 13:00 |
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場所 | Zoomによるオンライン開催 |
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受講対象 | |
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講師 | Brian Abbey (Department of Chemistry and Physics, La Trobe Institute for Molecular Science) |