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MC 2023
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Christopher Leist
Ulm / DE
University Ulm
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Vortrag
28.02.2023
Poster
IM5.P009
Deep learning pipeline for statistical quantification of amorphous two-dimensional materials and dynamic tracking
IM 5: Quantitative image and diffraction data analysis, MS 3: Low-dimensional and quantum materials
Weitere Beteiligungen
28.02.2023
Poster
MS3.P013
Design-optimized conductive 2D conjugated metal-organic frameworks allowing sub-Ångstrom resolution HRTEM imaging
MS 3: Low-dimensional and quantum materials, MS 5: Functional organic materials
28.02.2023
Poster
IM5.P009
Deep learning pipeline for statistical quantification of amorphous two-dimensional materials and dynamic tracking
IM 5: Quantitative image and diffraction data analysis, MS 3: Low-dimensional and quantum materials
28.02.2023
16:30
–
17:00
25 Min.
5 Min.
Invited talk
MS3.002-invited
Seeing into organic 2D materials: defects, dynamics, and resolution
MS 3: Low-dimensional and quantum materials
28.02.2023
19:40
–
19:45
5 Min.
0 Min.
Abstract talk
Design-optimized conductive 2D conjugated metal-organic frameworks allowing sub-Ångstrom resolution HRTEM imaging
MS 3: Low-dimensional and quantum materials, MS 5: Functional organic materials
v1.20.0
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